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References

Published online by Cambridge University Press:  05 May 2013

Daniel W. Bliss
Affiliation:
Arizona State University
Siddhartan Govindasamy
Affiliation:
Olin College of Engineering, Massachusetts
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Type
Chapter
Information
Adaptive Wireless Communications
MIMO Channels and Networks
, pp. 569 - 588
Publisher: Cambridge University Press
Print publication year: 2013

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References

[1] A. O., Hero III. Secure space-time communication. IEEE Transactions on Information Theory, 49(12):3235–3249, Dec. 2003.Google Scholar
[2] M., Abaramovitz and I., Stegun. Handbook of Mathematical Functions. Dover Publications, New York, 1970.Google Scholar
[3] N., Abramson. The ALOHA system – another alternative for computer communications. Proceedings of the Fall Joint Computer Conference AFIPS, 1970.Google Scholar
[4] V. D., Agrawal and Y. T., Lo. Mutual coupling in the phased arrays of randomly spaced antennas. IEEE Transactions on Antennas a nd Propagation, 20:288–295, May 1972.Google Scholar
[5] L. V., Ahlfors. Complex Analysis. McGraw-Hill, New York, 1953.Google Scholar
[6] I. F., Akyildiz, W.-Y., Lee, M. C., Vuran, and S., Mohanty. NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Elsevier Computer Networks, 50(13):2127–2159, Sept. 2006.Google Scholar
[7] S., Alamouti and V., Tarokh. Transmitter diversity technique for wireless communications, 2001. U.S. Patent 6,185,258.
[8] S. M., Alamouti. A simple transmit diversity technique for wireless communications. IEEE Journal in Selected Areas in Communications, 16:1451–1458, Oct. 1998.Google Scholar
[9] O. B. S., Ali, C., Cardinal, and F., Gagnon. Performance of optimum combining in a Poisson field of interferers and Rayleigh fading channels. IEEE Transactions Wireless Communications, 9(8):2461–2467, Aug. 2010.Google Scholar
[10] V. S., Annapureddy and V. V., Veeravalli. Gaussian interference networks: Sum capacity in the low-interference regime and new outer bounds on the capacity region. IEEE Transactions on Information Theory, 55(7):3032–3050, 2009.Google Scholar
[11] George B., Arfken and Hans-Jurgen, Weber. Mathematical Methods for Physicists. Elsevier, 2005.Google Scholar
[12] Z. D., Bai and J. W., Silverstein. On the empirical distribution of eigenvalues of a class of large dimensional random matrices. Journal of Multivariate Analysis, 54:175–192, 1995.Google Scholar
[13] Z. D., Bai and J. W., Silverstein. On the signal-to-interference-ratio of CDMA systems in wireless communications. Annals of Applied Probability, 17(1):81–101, 2007.Google Scholar
[14] O., Bakr, M., Johnson, R., Mudumbia, and U., Madhow. Interference suppression in the presence of quantization errors. Allerton Conference on Communication, Control, and Computing, pages 1161–1168, Oct. 2009.Google Scholar
[15] C. A., Balanis. Antenna Theory: Analysis and Design. John Wiley & Sons, Hoboken, New Jersey, 2005.Google Scholar
[16] A., Barabell. Improving the resolution performance of eigenstructure-based direction-finding algorithms. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 8:336–339, April 1983.Google Scholar
[17] P., Bergmans. A simple converse for broadcast channels with additive white Gaussian noise. IEEE Transactions on Information Theory, 6:85–127, 1974.Google Scholar
[18] Dennis S., Bernstein. Matrix Mathematics: Theory, Facts, and Formulas. Princeton University Press, 2009.Google Scholar
[19] C., Berrou, A., Glavieux, and P., Thitimaijshima. Near Shannon limit error correcting coding and decoding: turbo-codes. Proceedings of ICC 1993, Geneva, 2:1064–1070, May 1993.Google Scholar
[20] Dimitri P., Bertsekas. Nonlinear Programming. Athena Scientific, 1995.Google Scholar
[21] D.P., Bertsekas and R.G., Gallager. Data Networks, volume 2. Prentice-hall Upper Saddle River, NJ, USA:, 1987.Google Scholar
[22] Ezio, Biglieri. MIMO Wireless Communications. Cambridge University Press, 2007.Google Scholar
[23] M., Biguesh, S., Gazor, and M. H., Shariat. Optimal training sequence for MIMO wireless systems in colored environments. IEEE Transactions on Signal Processing, 57(8):3144–3153, Aug. 2009.Google Scholar
[24] Patrick, Billingsley. Probability and Measure. John Wiley & Sons, Hoboken, New Jersey, 1995.Google Scholar
[25] C., Bissell. Vladimir Aleksandrovich Kotelnikov: pioneer of the sampling theorem, cryptography, optimal detection, planetary mapping. IEEE Communications Magazine, 47(10):24–32, Oct. 2009.Google Scholar
[26] B. A., Bjerke and J. G., Proakis. Multiple-antenna diversity techniques for transmission over fading channels. IEEE Wireless Communications and Networking Conference, 3:1038–1042, 1999.Google Scholar
[27] I., Blake and W., Lindsey. Level-crossing problems for random processes. IEEE Transactions on Information Theory, 19(3):295–315, May 1973.Google Scholar
[28] D. W., Bliss. Robust MIMO wireless communication in the presence of interference using ad hoc antenna arrays. Proceedings of MILCOM 03 (Boston), Oct. 2003.Google Scholar
[29] D. W., Bliss. Optimal SISO and MIMO spectral efficiency to minimize hidden-node network interference. IEEE Communications Letters, 14(7):620–622, July 2010.Google Scholar
[30] D. W., Bliss, A. M., Chan, and N. B., Chang. MIMO wireless communication channel phenomenology. IEEE Transactions on Antennas and Propagation, 52(8), Aug. 2004.Google Scholar
[31] D. W., Bliss and K. W., Forsythe. Angle of arrival estimation in the presence of multiple access interference for CDMA cellular phone systems. Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop, Cambridge, Mass., March 2000.Google Scholar
[32] D. W., Bliss and K. W., Forsythe. Information theoretic comparison of MIMO wireless communication receivers in the presence of interference. IEEE Asilomar Conference on Signals, Systems and Computers, 1:866–870, Nov. 2004.Google Scholar
[33] D. W., Bliss, K. W., Forsythe, A. O., Hero, and A. F., Yegulalp. Environmental issues for MIMO capacity. IEEE Transactions on Signal Processing, 50(9):2128–2142, Sept. 2002.Google Scholar
[34] D. W., Bliss, K. W., Forsythe, and A. F., Yegulalp. MIMO communication capacity using infinite dimension random matrix eigenvalue distributions. IEEE Asilomar Conference on Signals, Systems and Computers, 2:969–974, Nov. 2001.Google Scholar
[35] D. W., Bliss and S., Govindasamy. Minimizing hidden-node network interference by optimizing SISO and MIMO spectral efficiency. IEEE Asilomar Conference on Signals, Systems and Computers, pages 1588–1592, Nov. 2010.Google Scholar
[36] D. W., Bliss and P. A., Parker. Temporal synchronization of MIMO wireless communication in the presence of interference. IEEE Transactions on Signal Processing, 58(3):1794–1806, Mar. 2010.Google Scholar
[37] D. W., Bliss, P. A., Parker, and A. R., Margetts. Simultaneous transmission and reception for improved wireless network performance. Conference Proceedings of the IEEE Statistical Signal Processing Workshop, pages 478–482, Aug. 2007.Google Scholar
[38] D. W., Bliss, P. H., Wu, and A. M., Chan. Multichannel multiuser detection of space-time turbo codes: Experimental performance results. IEEE Asilomar Conference on Signals, Systems and Computers, 2:1343–1348, Nov. 2002.Google Scholar
[39] R. S., Blum. MIMO capacity with interference. IEEE Journal on Selected Areas in Communications, 21(5):793–801, June 2003.Google Scholar
[40] Mary L., Boas. Mathematical Methods in the Physical Sciences. John Wiley & Sons, Hoboken, New Jersey, 2006.Google Scholar
[41] H., Bolcskei. Blind estimation of symbol timing and carrier frequency offset in wireless OFDM systems. IEEE Transactions on Communications, 49(6):988–999, June 2001.Google Scholar
[42] H., Bolcskei and A. J., Paulraj. Performance of space-time codes in the presence of spatial fading correlation. IEEE Asilomar Conference on Signals, Systems and Computers, 1:687–693, Oct. 2000.Google Scholar
[43] H., Bolcskei and A.J., Paulraj. Space-frequency codes for broadband fading channels. In Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on, page 219. IEEE, 2001.Google Scholar
[44] H., Bolcskei and I. J., Thukral. Interference alignment with limited feedback. IEEE International Sympo sium on Information Theory (ISIT), pages 1759–1763, 2009.Google Scholar
[45] Helmut, Bölcskei. Space-Time Wireless Systems: From Array Processing to MIMO Communications. Cambridge University Press, 2006.Google Scholar
[46] Joseph J., Boutros, Francesc Boixadera, and Catherine Lamy. Bit-interleaved coded modulations for multiple-input multiple-output channels. IEEE Symposium on Spread-Spectrum Technology and Applications, Sept. 2000.Google Scholar
[47] D. H., Brandwood. A complex gradient operator and its application in adaptive array theory. IEE Proceedings of Microwaves, Optics and Antennas, 130(1):11–16, Feb. 1983.Google Scholar
[48] Ira S., Brodsky. The History of Wireless: How Creative Minds Produced Technology for the Masses. Telescope Books, 2008.Google Scholar
[49] D. W., Browne, M. W., Browne, and M. P., Fitz. Singular value decomposition of correlated mimo channels. IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2006.Google Scholar
[50] V., Cadambe and S. A., Jafar. Interference alignment and degrees of freedom of the k-user interference channel. IEEE Transactions on Information Theory, 54(8), Aug. 2008.Google Scholar
[51] J., Capon. High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57(8):1408–1418, Aug. 1969.Google Scholar
[52] A., Carleial. A case where interference does not reduce capacity (corresp.). IEEE Transactions on Information Theory, 21(5):569–570, 1975.Google Scholar
[53] George F., Carrier, Max, Krook, and Carl E., Pearson. Functions of Complex Variable: Theory and Technique. Hod Books, Ithaca, NY, 1983.Google Scholar
[54] George F., Carrier, Max, Krook, and Carl E., Pearson. Functions of a Complex Variable: Theory and Technique. Classics in Applied Mathematics. Society for Industrial and Applied Mathematics, 2005.Google Scholar
[55] N. B., Chang, A. R., Margetts, and A. L., McKellips. Performance and complexity tradeoffs of space-time modulation and coding schemes. IEEE Asilomar Conference on Signals, Systems and Computers, pages 1446–1450, 2009.Google Scholar
[56] B., Chen and M. J., Gans. MIMO communications in ad-hoc networks. IEEE Transactions on Signal Processing, 54:2773–2783, July 2006.Google Scholar
[57] Z., Chen, J., Yuan, and B., Vucetic. Improved space-time trellis coded modulation scheme on slow rayleigh fading channels. Electronics Letters, 37(7):440–441, March 2001.Google Scholar
[58] Z., Chen, J., Yuan, and B., Vucetic. An improved space-time trellis coded modulation scheme on slow rayleigh fading channels. IEEE International Conference on Communications, 4:1110–1116, 2001.Google Scholar
[59] H. F., Chong, M., Motani, H. K., Garg, and H. El, Gamal. On the Han–Kobayashi region for the interference channel. IEEE Transactions on Information Theory, 54(7):3188–3195, 2008.Google Scholar
[60] L. J., Chu. Physical limitations of omni?directional antennas. Journal of Applied Physics, 19(12):1163, Dec. 1948.Google Scholar
[61] Lewis, Coe. Wireless Radio: A Brief History. McFarland, 1996.Google Scholar
[62] Cristina, Comaniciu, Rarayan, Mandayam, and H., Vincent. Wireless Networks: Multiuser Detection in Cross-Layer Design. Springer, 2005.Google Scholar
[63] J. P., Conti. The 10 greatest communications inventions. Communications Engineer, 5(1):14–21, 2007.Google Scholar
[64] A. D., Copeland, D. W., Bliss, and A. L., McKellips. Optimal windowing in MIMO OFDM for network interference suppression. IEEE Asilomar Conference on Signals, Systems and Computers, pages 1699–1703, Nov. 2009.Google Scholar
[65] R. M., Corless, G. H., Gonnet, D. E. G., Hare, D. J., Jeffrey, and D. E., Knuth. On the Lambert W function. Advances in Computational Mathematics, 5:329–359, Dec. 1996.Google Scholar
[66] L. M., Correia and R., Prasad. An overview of wireless broadband communications. IEEE Communications Magazine, 35(1):28–33, Jan. 1997.Google Scholar
[67] M., Costa. Writing on dirty paper. IEEE Transactions on Information Theory, 29(3):439–441, May 1983.Google Scholar
[68] T. M., Cover and J. A., Thomas. Elements of Information Theory, 2nd Edition. John Wiley & Sons, New York, 2006.Google Scholar
[69] H., Dai, A. F., Molisch, and H. V., Poor. Downlink capacity of interference-limited MIMO systems with joint detection. IEEE Transactions on Wireless Communications, 3(2), March 2004.Google Scholar
[70] D.J., Daley and D., Vere-Jones. An Introduction to the Theory of Point Processes, Volume I: Elementary Theory and Methods, volume 2. Springer Verlag, 2008.Google Scholar
[71] D.J., Daley and D., Vere-Jones. An Introduction to the Theory of Point Processes, Volume II: General Theory and Structure, volume 2. Springer Verlag, 2008.Google Scholar
[72] M. O., Damen, H. El, Gamal, and G., Caire. On maximum-likelihood detection and the search for the closest lattice point. IEEE Transactions on Information Theory, 49(10):2389–2402, Oct. 2003.Google Scholar
[73] A. V., Dandawate and G. B., Giannakis. Statistical tests for presence of cyclostationarity. IEEE Transactions on Signal Processing, 42(9):2355–2369, Sept. 1994.Google Scholar
[74] Michael, D'Antonio. A Ball, A Dog, and a Monkey: 1957 – The Space Race Begins. Simon & Schuster, New York, 2007.Google Scholar
[75] D., Dardari. Joint clip and quantization effects characterization in OFDM receivers. IEEE Transactions on Circuits and Systems, 53(8):1741–1748, Aug. 2006.Google Scholar
[76] Jon, Dattorro. Convex Optimization & Euclidean Distance Geometry. Meboo Publishing, 2008.Google Scholar
[77] D. F., Delong. Multiple signal direction finding with thinned linear arrays. Technical Report TST-68, DTIC:ADA128924, MIT Lincoln Laboratory, April 1983.
[78] D. F., Delong. Use of the weiss-weinstein bound to compare the direction-finding performance of sparse arrays. Technical Report AST-17, M.I.T. Lincoln Laboratory, Aug. 1991.
[79] L., Devroye. Bounds for the uniform deviation of empirical measures. Journal of Multivariate Analysis, 12:72–79, 1982.Google Scholar
[80] N., Devroye, P., Mitran, and V., Tarokh. Achievable rates in cognitive radio channels. IEEE Transactions on Information Theory, 52(5):1813–1827, May 2006.Google Scholar
[81] M., Dieckmann and R., Hell. Lichtelektrische bildzerlegerrehre fr fernseher, 1927. German Patent 450,187.
[82] A. E., Dolbear. Mode of electric communication, 1886. U.S. Patent 350,299.
[83] M., Donvito and S., Kassam. Characterization of the random array peak sidelobe. IEEE Transactions on Antennas and Propagation, 27(3):379–385, May 1979.Google Scholar
[84] Tolga M., Duman and Ali, Ghrayeb. Coding for MIMO Communication Systems. John Wiley & Sons, 2008.Google Scholar
[85] A., Edelman, T. A., Arias, and S. T., Smith. The geometry of algorithms with orthogonality constraints. SIAM Journal on Matrix Analysis and Applications, 20(2):303–353, 1999.Google Scholar
[86] H. El, Gamal and M. O., Damen. Universal space-time coding. IEEE Transactions on Information Theory, 49(5):1097–1119, May 2003.Google Scholar
[87] H. El, Gamal and A. R., Hammons. A new approach to layered space-time coding and signal processing. Information Theory, IEEE Transactions on, 47(6):2321–2334, 2001.Google Scholar
[88] Y. C., Eldar and G., Kutyniok. Compressed Sensing: Theory and Applications. Cambridge University Press, 2012.Google Scholar
[89] R., Etkin, D., Tse, and H., Wang. Gaussian interference channel capacity to within one bit. IEEE Transactions on Information Theory, 54(12), Dec. 2008.Google Scholar
[90] Albert Guillen I, Fabregas, Alfonso, Martinez, and Giuseppe, Caire. Bit-Interleaved Coded Modulation. Foundations and Trends in Communications and Information Theory. Now Publishers, 2008.Google Scholar
[91] P., Farnsworth. Television system, 1930. U.S. Patent 1,773,980.
[92] F. R., Farrokhi, G. J., Foschini, A., Lozano, and R. A., Valenzuela. Link-optimal space-time processing with multiple transmit and receive antennas. IEEE Communications Letters, 5:85–87, March 2001.Google Scholar
[93] William, Feller. An Introduction to Probability and Its Applications, Vol. II. John Wiley & Sons, 1971.Google Scholar
[94] B. A., Fette. Cognitive Radio Technology: 2nd Edition. Elsevier, Burlington, MA, 2009.Google Scholar
[95] L., De Forest. Space telegraphy, 1908. U.S. Patent 879,532.
[96] K. W., Forsythe. Utilizing waveform features for adaptive beamforming and direction finding with narrowband signals. MIT Lincoln Laboratory Journal, 10(2):99–126, 1997.Google Scholar
[97] K. W., Forsythe. Performance of space-time codes over a flat-fading channel using a subspace-invariant detector. IEEE Asilomar Conference on Signals, Systems and Computers, 1:750–755, Nov. 2002.Google Scholar
[98] K. W., Forsythe, D. W., Bliss, and C. M., Keller. Multichannel adaptive beamforming and interference mitigation in multiuser CDMA systems. IEEE Asilomar Conference on Signals, Systems and Computers, 1:506–510, Oct. 1999.Google Scholar
[99] G. J., Foschini. Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas. Bell Labs Technical Journal, 1(2):41–59, Autumn 1996.Google Scholar
[100] Giorgio, Franceschetti and Sabatino, Stornelli. Wireless Networks: From the Physical Layer to Communication, Computing, Sensing, and Control. Elsevier Academic Press, 2006.Google Scholar
[101] M., Franceschetti, O., Dousse, D. N. C., Tse, and P., Thiran. Closing the gap in the capacity of wireless networks via percolation theory. IEEE Transactions on Information Theory, 53(3):1009–1018, March 2007.Google Scholar
[102] M., Franceschetti, M. D., Migliore, and P., Minero. The capacity of wireless networks: Information-theoretic and physical limits. IEEE Transactions on Information Theory, 55(8):3413–3424, July 2009.Google Scholar
[103] J., Freebersyser and B., Leiner. A DoD perspective on mobile ad hoc networks. In C. E., Perkins, editor, Ad Hoc Networking, pages 29–51. Addison-Wesley, 2001.Google Scholar
[104] B., Friedlander and A. J., Weiss. Direction finding in the presence of mutual coupling. IEEE Transactions on Antennas and Propagation, 39(3):273–284, March 1991.Google Scholar
[105] H., Gao, P. J., Smith, and M. V., Clark. Theoretical reliability of MMSE linear diversity combining in Rayleigh-fading additive interference channels. IEEE Transactions on Communications, 46(5):666–672, May 1998.Google Scholar
[106] W. A., Gardner. Exploitation of spectral redundancy in cyclostationary signals. IEEE Signal Processing Magazine, 8(2):14–36, April 1991.Google Scholar
[107] Patrick, Geddes. The Life and Work of Sir Jagadis C. Bose. Longmans, Green and Co., London, 1920.Google Scholar
[108] S. I., Gel'fand and M. S., Pinsker. Coding for channel with random parameters. Problems of Control Theory, 9(1):19–31, 1980.Google Scholar
[109] D., Gerlach and A., Paulraj. Adaptive transmitting antenna methods for multipath environments. IEEE Global Telecommunications Conference (GLOBECOM), 1:425–429, Nov. 1994.Google Scholar
[110] D., Gesbert, H., Bolcskei, D. A., Gore, and A. J., Paulraj. Outdoor MIMO wireless channels: models and performance prediction. IEEE Transactions on Communications, 50(12):1926–1934, Dec. 2002.Google Scholar
[111] D., Gesbert, T., Ekman, and N., Christophersen. Capacity limits of dense palm-sized MIMO arrays. IEEE Global Telecommunications Conference (GLOBECOM), 2:1187–1191, Nov. 2002.Google Scholar
[112] M., Godavarti, A. O., Hero III, and T. L., Marzetta. Min-capacity of a multiple-antenna wireless channel in a static Ricean fading environment. IEEE Transactions on Wireless Communications, 4(4):1715–1723, July 2005.Google Scholar
[113] M. J. E., Golay. Notes on digital coding. Proceedings of the IRE, 37, 1949.Google Scholar
[114] G. D., Golden, G. J., Foschini, R. A., Valenzuela, and P.W., Wolniansky. V-BLAST: A high capacity space-time architecture for the rich-scattering wireless channel. Fifth Workshop on Smart Antennas in Wireless Mobile Communications, July 1998.Google Scholar
[115] A., Goldsmith. Wireless Communications. Cambridge University Press, New York, 2005.Google Scholar
[116] A., Goldsmith, S. A., Jafar, N., Jindal, and S., Vishwanath. Capacity limits of MIMO channels. IEEE Journal on Selected Areas of Communications, 21(5), June 2003.Google Scholar
[117] Gene Howard, Golub and Charles F., Van Loan. Matrix Computations. Johns Hopkins Studies in the Mathematical Sciences. Johns Hopkins University Press, Baltimore, 1996.Google Scholar
[118] K., Gomadam, V. R., Cadambe, and S. A., Jafar. Approaching the capacity of wireless networks through distributed interference alignment. IEEE Global Telecommunications Conference (GLOBECOM), pages 1–6, 2008.Google Scholar
[119] D. A., Gore and A. J., Paulraj. Mimo antenna subset selection with space-time coding. Signal Processing, IEEE Transactions, 50(10):2580–2588, 2002.Google Scholar
[120] S., Govindasamy. Multiple-Antenna Systems in Ad-Hoc Wireless Networks. Ph.D. dissertation, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2008.Google Scholar
[121] S., Govindasamy, F., Antic, D. W., Bliss, and D., Staelin. The performance of linear multiple-antenna receivers with interferers distributed on a plane. IEEE International Workshop on Signal Processing Advances for Wireless Communications, 2005.Google Scholar
[122] S., Govindasamy and D., Bliss. On the spectral e.ciency of links with multiantenna receivers in non-homogenous wireless networks. In Proceedings of IEEE ICC, Kyoto, pages 1–6. IEEE, 2011.Google Scholar
[123] S., Govindasamy, D. W., Bliss, and D. H., Staelin. Spectral effciency in single-hop ad-hoc wireless networks with interference using adaptive antenna arrays. IEEE Journal on Selected Areas of Communications, 25(7):1358–1369, Sept. 2007.Google Scholar
[124] S., Govindasamy, D. W., Bliss, and D. H., Staelin. Asymptotic spectral efficiency of the uplink in spatially distributed wireless networks with multi-antenna base stations. IEEE Asilomar Conference on Signals, Systems and Computers, 2008.Google Scholar
[125] S., Govindasamy, D. W., Bliss, and D. H., Staelin. Asymptotic spectral efficiency of multi-antennas links in ad-hoc wireless networks with limited Tx CSI. IEEE Transactions on Information Theory, 58(8):5375–5387, August 2012.Google Scholar
[126] S., Govindasamy, D. W., Bliss, and D. H., Staelin. Asymptotic spectral efficiency of the uplink in spatially distributed wireless networks with multi-antenna base stations. To appear in IEEE Transactions on Communications, 2013.Google Scholar
[127] S., Govindasamy, D. W., Bliss, and D.H., Staelin. Spectral-efficiency of multi-antenna links in ad-hoc wireless networks with limited Tx CSI. IEEE Asilomar Conference on Signals, Systems and Computers, 2009.Google Scholar
[128] S., Govindasamy, R., Rangan, E., Koukina, and A., Lloyd. CDF of the spectral-efficiency of a simple distributed channel assignment algorithm in spatially distributed wireless networks. In IEEE Asilomar Conference on Signals, Systems and Computers, 2009.Google Scholar
[129] I. S., Gradshteyn and I. M., Ryzhik. Table of Integrals, Series, and Products. Academic Press, New York, 1994.Google Scholar
[130] A., Graham. Kronecker Products and Matrix Calculus. Ellis Horwood Limited, Chichester, England, 1981.Google Scholar
[131] G., Grimmet and D. R., Stirzaker. Probability and Random Processes. Oxford University Press, 2001.Google Scholar
[132] P., Gupta and P. R., Kumar. The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2):388–404, March 2000.Google Scholar
[133] M., Haenggi, J. G., Andrews, F., Baccelli, O., Dousse, and M., Franceschetti. Stochastic geometry and random graphs for the analysis and design of wireless networks. IEEE Journal on Selected Areas of Communication, 27, Sept. 2009.Google Scholar
[134] R.W., Hamming. Notes on digital coding. Bell System Technical Journal, 29:147–160, 1950.Google Scholar
[135] T., Han and K., Kobayashi. A new achievable rate region for the interference channel. IEEE Transactions on Information Theory, 27(1):49–60, 1981.Google Scholar
[136] Lajos L., Hanzo, T. H., Liew, and B. L., Yeap. Turbo Coding, Turbo Equalisation and Space-Time Coding. John Wiley & Sons, 2002.Google Scholar
[137] F. J., Harris. On the use of windows for harmonic analysis with the discrete Fourier transform. Proceedings of the IEEE, 66(1):51–83, Jan. 1978.Google Scholar
[138] R. V. L., Hartley. Transmission of information. Bell System Technical Journal, pages 535–563, July 1928.Google Scholar
[139] B., Hassibi and B. M., Hochwald. How much training is needed in multiple-antenna wireless links?IEEE Transactions on Information Theory, 49(4):951–963, April 2003.Google Scholar
[140] M., Hata. Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology, 29(3):317–325, Aug. 1980.Google Scholar
[141] G. F., Hatke, K. W., Forsythe, A. L., McKellips, and T. T., Phuong. Space-time-frequency adaptive processor design for ultra-sparse apertures. IEEE Asilomar Conference on Signals, Systems and Computers, Oct. 2006.Google Scholar
[142] Simon, Haykin. Adaptive Filter Theory. Prentice Hall, Upper Saddle River, New Jersey, 1996.Google Scholar
[143] M., Herman, B., Miller, and J., Goodman. The cube coefficient subspace architecture for nonlinear digital predistortion. IEEE Asilomar Conference on Signals, Systems and Computers, pages 1857–1861, Oct. 2008.Google Scholar
[144] Heinrich, Hertz. Untersuchungen ueber die Ausbreitung der Elektrischen Kraft. Johann Ambrosius Barth, Leipzig, 1892.Google Scholar
[145] A., Hjorungnes and D., Gesbert. Complex-valued matrix differentiation: techniques and key results. IEEE Transactions on Signal Processing, 55(6):2740–2746, June 2007.Google Scholar
[146] Sungook, Hong. Wireless: from Marconi's Black-box to the Audion. Transformations. MIT Press, 2001.Google Scholar
[147] A. M., Hunter, J. G., Andrews, and S., Weber. Transmission capacity of ad hoc networks with spatial diversity. IEEE Transactions on Wireless Communications, 7(12), Dec. 2008.Google Scholar
[148] A. M., Hunter, J. G., Andrews, and S., Weber. Transmission capacity of ad hoc networks with spatial diversity. IEEE Transactions on Wireless Communications, 2009.Google Scholar
[149] A. M., Hunter, J., Andrews, and S., Weber. Transmission capacity of ad hoc networks with spatial diversity. Wireless Communications, IEEE Transactions, 7(12):5058–5071, 2008.Google Scholar
[150] IEEE. IEEE standard for information technology – telecommunications and information exchange between systems – local and metropolitan area networks – specific requirements – part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. IEEE Std 802.11-1997, 1997.
[151] IEEE. IEEE standard for information technology – telecommunications and information exchange between systems – local and metropolitan area networks – specific requirements part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications amendment 5: Enhancements for higher throughput. IEEE Std 802.11n-2009 (Amendment to IEEE Std 802.11-2007 as amended by IEEE Std 802.11k-2008, IEEE Std 802.11r-2008, IEEE Std 802.11y-2008, and IEEE Std 802.11w-2009), 29 2009.
[152] IEEE. IEEE standard for information technology–telecommunications and information exchange between systems wireless regional area networks (WRAN)–specific requirements part 22: Cognitive wireless RAN medium access control (MAC) and physical layer (PHY) specifications: Policies and procedures for operation in the TV bands. IEEE Std 802.22-2011, pages 1–680, 1 2011.
[153] Joseph, Mitola III. Cognitive Radio Architecture: The Engineering Foundations of Radio XML. John Wiley & Sons, Hoboken, New Jersey, 2006.Google Scholar
[154] J. D., Jackson. Classical Electrodynamics. John Wiley & Sons, Hoboken, New Jersey, 1975.Google Scholar
[155] S. A., Jafar. Exploiting channel correlations – simple interference alignment schemes with no CSIT. IEEE Global Telecommunications Conference (GLOBECOM), pages 1–5, 2010.Google Scholar
[156] S. A., Jafar. Interference Alignment – A New Look at Signal Dimensions in a Communication Network. Now Publishing, 2011.Google Scholar
[157] Hamid, Jafarkhani. Space-Time Coding: Theory and Practice. Cambridge University Press, 2005.Google Scholar
[158] A. K., Jagannatham and B. D., Rao. Cramer–Rao lower bound for constrained complex parameters. IEEE Transactions on Signal Processing Letters, 11(11):875–878, Nov. 2004.Google Scholar
[159] Alan T., James. Distributions of matrix variates and latent roots derived from normal samples. The Annals of Mathematical Statistics, 35(2):pp. 475–501, 1964.Google Scholar
[160] Mohinder, Jankiraman. Space-Time Codes and MIMO Systems. Artech House, 2004.Google Scholar
[161] Z., Ji and K. J. R., Liu. Dynamic spectrum sharing: a game theoretical overview. IEEE Communications Magazine, 45(5):88–94, May 2007.Google Scholar
[162] Y., Jiang, J., Li, and W. W., Hager. Joint transceiver design for MIMO communications using geometric mean decomposition. IEEE Transactions on Signal Processing, 53(10):3791–3803, Oct. 2005.Google Scholar
[163] N., Jindal, J. G., Andrews, and S., Weber. Bandwidth partitioning in decentralized wireless networks. IEEE Transactions on Wireless Communications, 7(12):5408–5419, 2008.Google Scholar
[164] N., Jindal, J. G., Andrews, and S., Weber. Rethinking MIMO for wireless networks: linear throughput increases with multiple receive antennas. IEEE International Conference on Communications (ICC), June 2009.Google Scholar
[165] N., Jindal, J. G., Andrews, and S., Weber. Multi-antenna communication in ad hoc networks: Achieving mimo gains with simo transmission. Communications, IEEE Transactions, 59(2):529–540, 2011.Google Scholar
[166] Y., Jing and B., Hassibi. Distributed space-time coding in wireless relay networks. Wireless Communications, IEEE Transactions on, 5(12):3524–3536, 2006.Google Scholar
[167] J. B., Johnson. Thermal agitation of electricity in conductors. Physical Review, 32:97–109, Jul 1928.Google Scholar
[168] D., Jonsson. Some limit theorems for the eigenvalues of a sample covariance matrix. Journal of Multivariate Analysis, 12:1–38, 1982.Google Scholar
[169] R., Kahn. The organization of computer resources into a packet radio network. IEEE Transactions on Communications, 25(1):169–178, Jan. 1977.Google Scholar
[170] S., Karmakar and M. K., Varanasi. Capacity of the mimo interference channel to within a constant gap. In Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on, pages 2193–2197, 31 2011–Aug. 5 2011.Google Scholar
[171] Alan F., Karr. Probability. Springer-Verlag, 1993.Google Scholar
[172] Steven M., Kay. Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice Hall, Upper Saddle River, NJ, 1993.Google Scholar
[173] E. J., Kelly and K. W., Forsythe. Adaptive Detection and Parameter Estimation for Multidimensional Signal Models. Technical Report 848, M.I.T. Lincoln Laboratory, April, 1989.
[174] Maurice, Kendall and Alan, Stuart. The Advanced Theory of Statistics. Macmillan Publishing, New York, 1979.Google Scholar
[175] H. S., Kim and A. O., Hero. Comparison of GLR and invariant detectors under structured clutter covariance. IEEE Transactions on Image Processing, 10(10):1509–1520, Oct. 2001.Google Scholar
[176] A. N., Kolmogorov. Stationary sequences in Hilbert space. Bulletin of Moscow University, 2(6):1–40, 1941.Google Scholar
[177] G., Kramer. Outer bounds on the capacity of Gaussian interference channels. IEEE Transactions on Information Theory, 50(3):581–586, 2004.Google Scholar
[178] John Daniel, Kraus and Daniel A., Fleisch, editors. Electromagnetics with Applications, 5th Edition. McGraw-Hill, New York, 1999.
[179] S., Kraut, L. L., Scharf, and R. W., Butler. The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic. IEEE Transactions on Signal Processing, 53(2):427–438, February 2005.Google Scholar
[180] Erwin, Kreyszig. Advanced Engineering Mathematics. John Wiley & Sons, 2006.Google Scholar
[181] A. R., Kuruc. Lower bounds on multiple-source direction finding in the presence of direction-dependent antenna-array-calibration errors. Technical Report TR-799, MIT Lincoln Laboratory, Oct. 1989.
[182] E. G., Larsson. MIMO detection methods: How they work [lecture notes]. IEEE Signal Processing Magazine, 26(3):91–95, May 2009.Google Scholar
[183] E. G., Larsson and P., Stoica. Space-Time Block Coding for Wireless Communications. Space-Time Block Coding for Wireless Communications. Cambridge University Press, 2008.Google Scholar
[184] R. E., Learned, A. S., Willsky, and D. M., Boroson. Low complexity optimal joint detection for oversaturated multiple access communications. IEEE Transactions on Signal Processing, 45(1):113–123, Aug. 1997.Google Scholar
[185] T. H., Lee and A., Hajimiri. Oscillator phase noise: a tutorial. IEEE Journal of Solid-State Circuits, 35(3):326–336, March 2000.Google Scholar
[186] Tom, Lewis. Empire of the Air: The Men Who Made Radio. Edward Burlingame, 1991.Google Scholar
[187] Yingbin, Liang, A., Somekh-Baruch, H. V., Poor, S., Shamai, and S., Verdu. Capacity of cognitive interference channels with and without secrecy. IEEE Transactions on Information Theory, 55(2):604–619, Feb. 2009.Google Scholar
[188] J. C., Liberti and T. S., Rappaport. A geometrically based model for line-of-sight multipath radio channels. IEEE Vehicular Technology Conference, 2:844–848, April 1996.Google Scholar
[189] Joseph C., Liberti and Theodore S., Rappaport. Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications. Prentice Hall, 1999.Google Scholar
[190] J., Lin, J. G., Proakis, F., Ling, and H., Lev-Ari. Optimal tracking of time-varying channels: a frequency domain approach for known and new algorithms. IEEE Journal on Selected Areas in Communications, 13(1):141–154, Jan. 1995.Google Scholar
[191] Shu, Lin and Daniel J., Costello. Error Control Coding. Prentice Hall, 2005.Google Scholar
[192] Yi-Bing, Lin and Imrich, Chlamtac. Wireless and Mobile Network Architectures. John Wiley & Sons, 2008.Google Scholar
[193] M., Loomis. Improvement in telegraphing, 1872. U.S. Patent 129,971.
[194] R. H. Y., Louie, M. R., McKay, and I. B., Collings. Open-loop spatial multiplexing and diversity communications in ad hoc networks. Information Theory, IEEE Transactions, 57(1):317–344, 2011.Google Scholar
[195] D. J., Love, R. W., Heath, V. K. N., Lau, D., Gesbert, B. D., Rao, and M., Andrews. An overview of limited feedback in wireless communication systems. IEEE Journal on Selected Areas in Communications, 26(8):1341–1365, Oct. 2008.Google Scholar
[196] D. J., Love and R. W., Heath Jr., Limited feedback unitary precoding for orthogonal space-time block codes. IEEE Transactions on Signal Processing, 53(1):64–73, 2005.Google Scholar
[197] D. J., Love and R. W., Heath Jr., Multimode precoding for MIMO wireless systems. IEEE Transactions on Signal Processing, 53(10):3674–3687, Oct. 2005.Google Scholar
[198] D. J., Love, R. W., Heath Jr., and T., Strohmer. Grassmannian beamforming for multiple-input multiple-output wireless systems. IEEE Transactions on Information Theory, 49(10):1341–1365, Oct. 2003.Google Scholar
[199] R. W., Lucky and H. R., Rudin. Generalized automatic equalization for communication channels. Proceedings of the IEEE, 54(3):439–440, March 1966.Google Scholar
[200] X., Ma, G. B., Giannakis, and S., Ohno. Optimal training for block transmissions over doubly selective wireless fading channels. IEEE Transactions on Signal Processing, 51(5):1351–1366, May 2003.Google Scholar
[201] Z., Ma, X., Wu, and W., Zhu. An ICI–free synchronization algorithm in MIMO OFDM system. 2nd International Symposium on Wireless Pervasive Computing, ISWPC, Feb. 2007.Google Scholar
[202] David J. C., MacKay. Information Theory, Inference, and Learning Algorithms. Cambridge University Press, 2003.Google Scholar
[203] U., Madhow. Fundamentals of Digital Communication. Cambridge University Press, 2008.Google Scholar
[204] Dimitris G., Manolakis and Vinay K., Ingle. Applied Digital Signal Processing: Theory and Practice. Cambridge University Press, Cambridge, 2011.Google Scholar
[205] Dimitris G., Manolakis, Vinay K., Ingle, and Stephen M., Kogon. Stastistical and Adaptive Signal Processing. Artech House, 2005.Google Scholar
[206] V. A., Marcenko and L. A., Pastur. Distribution of eigenvalues for some sets of random matrices. Mathematics of the USSR-Sbornik, 1(4), 1967.Google Scholar
[207] A. R., Margetts, K.W., Forsythe, and D.W., Bliss. Direct space-time GF(q) LDPC modulation. IEEE Asilomar Conference on Signals, Systems and Computers, Oct. 2006.Google Scholar
[208] H. K., Markey and G., Antheil. Secret communication system, 1942. U.S. Patent 2,292,387.
[209] T. L., Marzetta and B. M., Hochwald. Capacity of a mobile multiple-antenna communication link in Rayleigh fading. IEEE Transactions on Information Theory, 45:139–158, January 1999.Google Scholar
[210] A. M., Mathai. An Introduction to Geometrical Probability. Gordon and Breach, 1999.Google Scholar
[211] J. C., Maxwell. A dynamic theory of electromagnetic field. Philosophical Transactions of the Royal Society of London, 155:459–512, 1865.Google Scholar
[212] Robert J., McEliece. The Theory of Information and Coding. Encyclopedia of Mathematics and Its Applications. Cambridge University Press, 2002.Google Scholar
[213] Merriam-Webster, . The Merriam-Webster Dictionary. Perfection Learning, 2005.Google Scholar
[214] R. M., Metcalfe and D. R., Boggs. Ethernet: distributed packet switching for local computer networks. Communications of the ACM, 19:395–404, July 1976.Google Scholar
[215] R., Mhiri, D., Masse, and D., Schafhuber. Synchronization for a DVB-T receiver in presence of co-channel interference. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pages 2307–2311, Sept. 2002.Google Scholar
[216] R. E., Miles. On the homogeneous planar Poisson point process. Mathematical Biosciences, 6:85–127, 1970.Google Scholar
[217] Kenneth S., Miller. Some Eclectic Matrix Theory. Robert E. Krieger Publishing, New York, 1987.Google Scholar
[218] Pratap, Misra and Per, Enge. Global Positioning System: Signals, Measurements, and Performance. Ganga-Jamuna Press, Hoboken, NJ, 2006.Google Scholar
[219] J., Mitola III and G. Q., Maguire Jr., Cognitive radio: making software radios more personal. IEEE Personal Communications, 6(4):13–18, Aug. 1991.Google Scholar
[220] Sanjit Kumar, Mitra. Digital Signal Processing: A Computer Based Approach. McGraw-Hill, New York, 2006.Google Scholar
[221] A. N., Mody and G. L., Stuber. Synchronization for MIMO OFDM systems. IEEE Global Telecommunications Conference (GLOBECOM), 1:509–513, 2001.Google Scholar
[222] A. F., Molisch, M. Z., Win, and J. H., Winters. Space-time-frequency (stf) coding for mimo-ofdm systems. Communications Letters, IEEE, 6(9):370–372, 2002.Google Scholar
[223] R. A., Monzingo and T. W., Miller. Introduction to Adaptive Arrays. John Wiley & Sons, New York, 1980.Google Scholar
[224] A. S., Motahari and A. K., Khandani. Capacity bounds for the Gaussian interference channel. IEEE Transactions on Information Theory, 55(2):620–643, 2009.Google Scholar
[225] J. C., Mundarath, P., Ramanathan, and B. D., Van Veen. A cross layer scheme for adaptive antenna array based wireless ad hoc networks in multipath environments. Wireless Networks, 13:597–615, October 2007.Google Scholar
[226] A.F., Naguib, V., Tarokh, N., Seshadri, and A.R., Calderbank. A space-time coding modem for high-data-rate wireless communications. Selected Areas in Communications, IEEE Journal, 16(8):1459–1478, 1998.Google Scholar
[227] J. R., Nash. Equilibrium points in n-person games. Proceedings of the National Academy of Sciences of the United States of America, 36(1):48–49, Jan. 1950.Google Scholar
[228] B., Nazer, S. A., Jafar, M., Gastpar, and S., Vishwanath. Ergodic interference alignment. IEEE International Symposium on Information Theory (ISIT), pages 1769–1773, 2009.Google Scholar
[229] A., Nehorai and E., Paldi. Vector-sensor array processing for electromagnetic source localization. IEEE Transactions on Signal Processing, 42(2):376–398, February 1994.Google Scholar
[230] David L., Nicholson. Spread Spectrum Signal Design: LPE and AJ Systems. Computer Science Press, New York, 1988.Google Scholar
[231] D., Niyato and E., Hossain. Market-equilibrium, competitive, and cooperative pricing for spectrum sharing in cognitive radio networks: analysis and comparison. IEEE Transactions on Wireless Communications, 7(11):4273–4283, Nov. 2008.Google Scholar
[232] A., Nuttall. Some integrals involving the qm function. IEEE Transactions on Information Theory, 21(1):95–96, Jan. 1975.Google Scholar
[233] H., Nyquist. Thermal agitation of electric charge in conductors. Physical Review, 32:110–113, July 1928.Google Scholar
[234] H., Ochiai, P., Mitran, H. V., Poor, and V., Tarokh. Collaborative beamforming for distributed wireless ad hoc sensor networks. IEEE Transactions on Signal Processing, 53(11):4110–4124, Nov. 2005.Google Scholar
[235] Atsuyuki, Okabe, Barry, Boots, Kokichi, Sugihara, and Sung Nok, Chiu. Spatial Tessellations. Concepts and Applications of Voronoi Diagrams. With a foreword by DG Kendall. John Wiley & Sons, Hoboken, New Jersey, 2000.Google Scholar
[236] B. M., Oliver. Thermal and quantum noise. Proceedings of the IEEE, 53(5):436–454, May 1965.Google Scholar
[237] E., Ollila, V., Koivunen, and J., Eriksson. On the Cramer–Rao for the constrained and unconstrained complex parameters. IEEE Sensor Array and Multichannel Signal Processing Workshop, pages 414–418, July 2008.Google Scholar
[238] Alan V., Oppenheim, Ronald W., Schafer, and John R., Buck. Discrete-Time Signal Processing. Prentice Hall, Upper Saddle River, NJ, 1999.Google Scholar
[239] H. C., Ørsted, K., Jelved, A. D., Jackson, and O., Knudsen. Selected Scientific Works of Hans Christian Ørsted. Princeton University Press, 1998.Google Scholar
[240] A., Ozgur, O., Leveque, and D., Tse. Hierarchical cooperation achieves optimal capacity scaling in ad-hoc networks. IEEE Transactions on Information Theory, 53(10):3549–3572, Oct. 2007.Google Scholar
[241] Athanasios, Papoulis and S. Unnikrishna, Pillai. Probability, Random Variables, and Stochastic Processes, 4th Edition. McGraw-Hill, New York, 2002.Google Scholar
[242] M., Park, S.-H., Choi, and S. M., Nettles. Cross-layer mac design for wireless networks using MIMO. IEEE Global Telecommunications Conference (GLOBECOM), 5:5 pp. –2874, Dec. 2005.Google Scholar
[243] P. A., Parker and D. W., Bliss. Outer bounds for the MIMO interference channel. IEEE Asilomar Conference on Signals, Systems and Computers, pages 1108–1112, Oct. 2008.Google Scholar
[244] P. A., Parker, P., Mitran, D. W., Bliss, and V., Tarokh. On bounds and algorithms for frequency synchronization for collaborative communication systems. IEEE Transactions on Signal Processing, 56(8):3742–3752, Aug. 2008.Google Scholar
[245] A. J., Paulraj and T., Kailath. Increasing capacity in wireless broadcast systems using distributed transmission/directional reception (dtdr), 1994. U.S. Patent 5,345,599.
[246] A. J., Paulraj and C. B., Papadias. Space-time processing for wireless communications. IEEE Signal Processing Magazine, 14(6):49–83, Nov. 1997.Google Scholar
[247] Arogyswami, Paulraj, Rohit, Nabar, and Dhananjay, Gore. Introduction to Space-Time Wireless Communications. Cambridge University Press, Cambridge, 2003.Google Scholar
[248] S. U., Pillai and C. S., Burrus. Array Signal Processing. Springer-Verlag, 1989.Google Scholar
[249] P., Pirenen. Cellular topology and outage evaluation for ds-uwb system with correlated lognormal multipath fading. The 17th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2006.Google Scholar
[250] H. V., Poor. An Introduction to Signal Detection and Estimation. Springer-Verlag, 1994.Google Scholar
[251] H. V., Poor and G. W., Wornell. Wireless Communications: Signal Processing Perspectives. Prentice Hall, 1998.Google Scholar
[252] David M., Pozar. Microwave Engineering. John Wiley & Sons, Hoboken, New Jersey, 2005.Google Scholar
[253] N., Prasad and M. K., Varanasi. Outage theorems for MIMO block-fading channels. IEEE Transactions on Information Theory, 52(12):5284–5296, Dec. 2006.Google Scholar
[254] R., Price. and P. E., Green. A communication technique for multipath channels. Proceedings of the Institute of Radio Engineers, 46(3):555–570, March 1958.Google Scholar
[255] John G., Proakis. Digital Communications. McGraw-Hill, New York, 2001.Google Scholar
[256] John G., Proakis and Dimitris G., Manolakis. Digital Signal Processing. Pearson Prentice Hall, 2007.Google Scholar
[257] R. W., Heath Jr., and G. B., Giannakis. Exploiting input cyclostationarity for blind channel identification in OFDM systems. IEEE Transactions on Signal Processing, 47(3):848–856, March 1999.Google Scholar
[258] C., Rao and B., Hassibi. Analysis of multiple-antenna wireless links at low snr. IEEE Transactions on Information Theory, 50(9):2123–2130, Sept. 2004.Google Scholar
[259] P. B., Rapajic and D., Popescu. Information capacity of a random signature multiple-input multiple-output channel. IEEE Transactions on Information Theory, 48(8):1245–1248, Aug. 2000.Google Scholar
[260] T. S., Rappaport. Wireless Communications: Principles & Practice. Prentice Hall, 1996.Google Scholar
[261] Behzad, Razavi. RF Microelectronics. Pearson Education, 2011.Google Scholar
[262] Reinhold, Remmert. Theory of Complex Functions. Springer-Verlag, New York, 1991.Google Scholar
[263] C. D., Richmond. Mean squared error and threshold SNR prediction of maximum-likelihood signal parameter estimation with estimated colored noise covariances. IEEE Transactions on Information Theory, 52(5):2146–2164, May 2006.Google Scholar
[264] F., Rief. Fundamentals of Statistical and Thermal Physics. McGraw-Hill, New York, 1965.Google Scholar
[265] Gordon, Rottman. World War II Battlefield Communications. Osprey Publishing, Oxford, 2010.Google Scholar
[266] R., Roy and T., Kailath. ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics, Speech and Signal Processing, 37(7):984–995, July 1989.Google Scholar
[267] M., Sadek, A., Tarighat, and A. H., Sayed. A leakage-based precoding scheme for downlink multi-user MIMO channels. IEEE Transactions on Wireless Communications, 6(5), May 2007.Google Scholar
[268] H., Sampath, P., Stoica, and A., Paulraj. Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion. IEEE Transactions on Communications, 49(12):2198–2206, Dec. 2001.Google Scholar
[269] S., Sandhu, R., Heath, and A., Paulraj. Space-time block codes versus spacetime trellis codes. In Communications, 2001. ICC 2001. IEEE International Conference, volume 4, pages 1132–1136. IEEE, 2001.Google Scholar
[270] S., Sandhu and A., Paulraj. Space-time block codes: A capacity perspective. Communications Letters, IEEE, 4(12):384–386, 2000.Google Scholar
[271] I., Sason. On achievable rate regions for the Gaussian interference channel. IEEE Transactions on Information Theory, 50(6):1345–1356, June 2004.Google Scholar
[272] H., Sato. The capacity of the Gaussian interference channel under strong interference (corresp.). IEEE Transactions on Information Theory, 27(6):786–788, 1981.Google Scholar
[273] Ali H., Sayed. Adaptive Filters. John Wiley & Sons, Hoboken, New Jersey, 2008.Google Scholar
[274] A., Scaglione, P., Stoica, S., Barbarossa, G. B., Giannakis, and H., Sampath. Optimal designs for space-time linear precoders and decoders. IEEE Transactions on Signal Processing, 50(5):1051–1064, May 2002.Google Scholar
[275] Louis, Scharf and Cedric, Demeure. Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Addison-Wesley, Reading, MA, 1991.Google Scholar
[276] R. O., Schmidt. A signal subspace approach to multiple emitter location and spectral estimation. Ph.D. dissertation, Stanford University, 1981.Google Scholar
[277] P., Schniter. Low-complexity equalization of OFDM in doubly selective channels. IEEE Transactions on Signal Processing, 52(4):1002–1011, April 2004.Google Scholar
[278] R. A., Scholtz. The origins of spread-spectrum communications. IEEE Transactions on Communications, 30(5):822–854, May 1982.Google Scholar
[279] M., Schwartz. Edouard Branly, the coherer, and the Branly effect [history of communications]. IEEE Communications Magazine, 47(9):20–26, Sept. 2009.Google Scholar
[280] Mischa, Schwartz, William R., Bennett, and Seymour, Stein. Communication Systems and Techniques. McGraw-Hill, New York, 1966.Google Scholar
[281] X., Shang, B., Chen, G., Kramer, and H. V., Poor. Interference suppression in the presence of quantization errors. Allerton Conference on Communication, Control, and Computing, pages 700–707, Sept. 2008.Google Scholar
[282] X., Shang, B., Chen, G., Kramer, and H. V., Poor. Capacity regions and sumrate capacities of vector gaussian interference channels. IEEE Transactions on Information Theory, 56(10):5030–5044, Oct. 2010.Google Scholar
[283] Xiaohu, Shang, Biao, Chen, and Michael J., Gans. On the achievable sum rate for MIMO interference channels. IEEE Transactions on Information Theory, 52(9), September 2006.Google Scholar
[284] C. E., Shannon. A mathematical theory of communication. Bell System Technical Journal, 27:379–423, July 1948.Google Scholar
[285] D. F., Sievenpiper, D. C., Dawson, M. M., Jacob, T., Kanar, S., Kim, J., Long, and R. G., Quarfoth. Experimental validation of performance limits and design guidelines for small antennas. IEEE Transactions onAntennas and Propagation, 60(1):8–19, Jan. 2012.Google Scholar
[286] J. W., Silverstein. Eigenvalues and eigenvectors of large dimensional sample covariance matrices. Contemporary Mathematics, 50:153–159, 1986.Google Scholar
[287] Bernard, Sklar. Digital Communications: Fundamentals and Applications. Prentice Hall, 1988.Google Scholar
[288] S. T., Smith. Statistical resolution limits and the complexified Cramer–Rao bound. IEEE Transactions on Signal Processing, 53(5):1597–1609, May 2005.Google Scholar
[289] D. H., Staelin, D. W., Bliss Jr, D. A., Hinton, et al. Protocols for multi-antenna ad hoc wireless networking in interference environments. PhD thesis, Massachusetts Institute of Technology, 2010.Google Scholar
[290] D. H., Staelin, A. W., Morgenthaler, and J. A., Kong. Electromagnetic Waves. Prentice Hall Englewood Cliffs, NJ, 1994.Google Scholar
[291] William, Stallings. Data and Computer Communications. Pearson/Prentice Hall, 2007.Google Scholar
[292] A., Stefanov and T. M., Duman. Turbo coded modulation for wireless communications with antenna diversity. Proceedings of IEEE Vehicular Technology Conference, Amsterdam, 3:1565–1569, Sept. 1999.Google Scholar
[293] S., Stein. Unified analysis of certain coherent and noncoherent binary communications systems. IEEE Transactions on Information Theory, 10(1):43–51, Jan. 1964.Google Scholar
[294] Bernard D., Steinberg. Principles of Aperture and Array System Design: Including Random and Adaptive Arrays. John Wiley & Sons, New York, 1976.Google Scholar
[295] P., Stoica, E.G., Larsson, and A. B., Gershman. The stochastic CRB for array processing: a textbook derivation. IEEE Signal Processing Letters, 8(5):148–150, May 2001.Google Scholar
[296] P., Stoica and A., Nehorai. MUSIC, maximum likelihood, and Cramer–Rao bound. IEEE Transactions on Acoustics, Speech and Signal Processing, 37(5):720–741, May 1989.Google Scholar
[297] Petre, Stoica and Randolph, Moses. Introduction to Spectral Analysis. Prentice Hall, 1997.Google Scholar
[298] D., Stoyan, W. S., Kendall, and J., Mecke. Stochastic Geometry and Its Applications. John Wiley & Sons, Hoboken, New Jersey, 1995.Google Scholar
[299] Dietrich, Stoyan, Wilfrid S., Kendall, and Joseph, Mecke. Stochastic Geometry and Its Applications, 2nd Edition. John Wiley & Sons, 1995.Google Scholar
[300] P. D., Sutton, K. E., Nolan, and L. E., Doyle. Cyclostationary signatures in practical cognitive radio applications. IEEE Journal on Selected Areas in Communications, 26(1):13–24, Jan. 2008.Google Scholar
[301] T., Svantesson. A double-bounce channel model for multi-polarized MIMO systems. IEEE Vehicular Technology Conference, 2:691–695, Fall 2002.Google Scholar
[302] T., Svantesson and A. L., Swindlehurst. A performance bound for prediction of mimo channels. IEEE Transactions on Signal Processing, 54(2):520–529, Feb. 2006.Google Scholar
[303] A., Taherpour, M., Nasiri-Kenari, and S., Gazor. Multiple antenna spectrum sensing in cognitive radios. IEEE Transactions on Wireless Communications, 9(2):814–823, Feb. 2010.Google Scholar
[304] Tapan K., Sarkar et al. History of Wireless. John Wiley & Sons, Hoboken, New Jersey, 2006.Google Scholar
[305] V., Tarokh, H., Jafarkhani, and A. R., Calderbank. Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory, 45(5):1456–1467, July 1999.Google Scholar
[306] V., Tarokh, A., Naguib, N., Seshadri, and A.R., Calderbank. Combined array processing and space-time coding. Information Theory, IEEE Transactions on, 45(4):1121–1128, 1999.Google Scholar
[307] V., Tarokh, N., Seshadri, and A. R., Calderbank. Space-time codes for high data rate wireless communication: performance criterion and code construction. IEEE Transactions on Information Theory, 44(2):744–765, March 1998.Google Scholar
[308] I. E., Telatar. Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6):585–595, Nov.–Dec. 1999.Google Scholar
[309] N., Tesla. System of transmission of electrical energy, 1890. U.S. Patent 645,576.
[310] N., Tesla. On light and other high frequency phenomena. Record of Franklin Institute, 1893.Google Scholar
[311] S. C., Thompson, J. G., Proakis, and J. R., Zeidler. The effectiveness of signal clipping for PAPR and total degradation reduction in OFDM systems. IEEE Global Telecommunications Conference (GLOBECOM), 5:5 pp. –2811, Dec. 2005.Google Scholar
[312] H. L., Van Trees. Detection, Estimation, and Modulation Theory, Part I. John Wiley & Sons, New York, 1968.Google Scholar
[313] D., Tse and S., Hanly. Linear multiuser receivers: effective interference, effective bandwidth and user capacity. IEEE Transactions on Information Theory, 45(2):641–657, 1999.Google Scholar
[314] David, Tse and Pramod, Viswanath. Fundamentals of Wireless Communication. Cambridge University Press, Cambridge, 2005.Google Scholar
[315] Antonia M., Tulino and Sergio, Verdu. Random Matrix Theory and Wireless Communications. Now Publishers, 2004.Google Scholar
[316] G., Ungerboeck. Trellis-coded modulation with redundant signal sets part i: introduction. IEEE Communications Magazine, 25(2):5–11, Feb. 1987.Google Scholar
[317] G., Ungerboeck. Trellis-coded modulation with redundant signal sets part ii: state of the art. IEEE Communications Magazine, 25(2):12–21, Feb. 1987.Google Scholar
[318] A., van den Bos. A Cramer–Rao lower bound for complex parameters. IEEE Transactions on Signal Processing, 42(10), Oct. 1994.Google Scholar
[319] R., van Nee and R., Prasad. OFDM Wireless Multimedia Communications. Artech House, Boston, 2000.Google Scholar
[320] M. K., Varanasi, C. T., Mullis, and A., Kapur. On the limitation of linear MMSE detection. IEEE Transactions on Information Theory, 52(9):4282–4286, Sept. 2006.Google Scholar
[321] R., Vaze and R. W., Heath. Transmission capacity of ad-hoc networks with multiple antennas using transmit stream adaptation and interference cancellation. Information Theory, IEEE Transactions, 58(2):780–792, 2012.Google Scholar
[322] S., Verdu. Optimum multi-user signal detection. Ph.D. Thesis, Dept. of Electrical and Computer Engineering, University of Illinois, Aug. 1984.Google Scholar
[323] S., Verdu and S., Shamai (Shitz). Spectral efficiency of CDMA with random spreading. IEEE Transactions on Information Theory, 45(2):622–640, March 1999.Google Scholar
[324] Sergio, Verdu. Multiuser Detection. Cambridge University Press, Cambridge, 1998.Google Scholar
[325] E., Visotsky and U., Madhow. Space-time transmit precoding with imperfect feedback. IEEE Transactions on Information Theory, 47(6):2632–2639, Sept. 2001.Google Scholar
[326] P., Viswanath and D., Tse. Sum capacity of the vector gaussian broadcast channel and uplinkdownlink duality. IEEE Transactions on Information Theory, 49, August 2003.Google Scholar
[327] A., Viterbi. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Transactions on Information Theory, 13(2):260–269, April 1967.Google Scholar
[328] A.J., Viterbi et al. CDMA: Principles of spread spectrum communication, volume 129. Addison-Wesley, 1995.Google Scholar
[329] M., Vu and V., Tarokh. Scaling laws of single-hop cognitive networks. IEEE Transactions on Wireless Communications, 8(8):4089–4097, Aug. 2009.Google Scholar
[330] Mai, Vu and A., Paulraj. MIMO wireless linear precoding. IEEE Signal Processing Magazine, 24(5):86–105, Sept. 2007.Google Scholar
[331] Branka, Vucetic and Jinhong, Yuan. Space-Time Coding. John Wiley & Sons, 2003.Google Scholar
[332] J. W., Wallace, Chan, Chen, and M. A., Jensen. Key generation exploiting MIMO channel evolution: Algorithms and theoretical limits. European Conference on Antennas and Propagation, (EuCAP), pages 1499–1503, March 2009.Google Scholar
[333] D., Wang and J., Zhang. Timing synchronization for MIMO OFDM WLAN systems. IEEE Wireless Communications and Networking Conference, pages 1177–1182, March 2007.Google Scholar
[334] X., Wang. Volumes of generalized unit balls. IMathematics Magazine, 78(5):390–395, Dec. 2005.Google Scholar
[335] X., Wang and H. V., Poor. Space-time multiuser detection in multipath CDMA channels. IEEE Transactions on Signal Processing, 47(9):2356–2374, Sept. 1999.Google Scholar
[336] J., Ward and R. T., Compton Jr., Improving the performance of a slotted ALOHA packet radio network with an adaptive array. IEEE Transactions on Communications, 40(2):292–300, Feb. 1992.Google Scholar
[337] J., Ward and R. T., Compton Jr., High throughput slotted ALOHA packet radio networks with adaptive arrays. IEEE Transactions on Communications, 41(3):460–470, March 1993.Google Scholar
[338] W. W., Ward. The NOMAC and Rake systems. Lincoln Laboratory Journal, 5(3):351–366, 1992.Google Scholar
[339] M., Wax and T., Kailath. Detection of signals by information theoretic criteria. IEEE Transactions on Acoustics, Speech and Signal Processing, 33(2):387–392, April 1985.Google Scholar
[340] S., Weber, X., Yang, J. G., Andrews, and G., de Veciana. Transmission capacity of wireless ad-hoc networks with outage constraints. IEEE Transactions on Information Theory, pages 4091–4102, Dec. 2005.Google Scholar
[341] H., Weingarten, Y., Steinberg, and S., Shamai (Shitz). The capacity region of the Gaussian multiple-input-multiple-output broadcast channel. IEEE Transactions on Information Theory, 52(9), Sept. 2006.Google Scholar
[342] E., Weinstein and A. J., Weiss. A general class of lower bounds in parameter estimation. IEEE Transactions on Information Theory, 34:338–342, March 1988.Google Scholar
[343] E. T., Whittaker and G. N., Watson. A Course of Modern Analysis. Cambridge University Press, Cambridge, 1927.Google Scholar
[344] B., Widrow and S. S., Haykin. Least-Mean-Square Adaptive Filters. John Wiley & Sons, Hoboken, New Jersey, 2003.Google Scholar
[345] B., Widrow and M. E., Hoff Jr.Adaptive switching circuits. Convention Record of IRE WESCON, 4:96–104, 1960.Google Scholar
[346] Norbert, Wiener. Extrapolation, Interpolation, and Smoothing of Stationary Time Series. John Wiley & Sons, New York, 1949.Google Scholar
[347] E. P., Wigner. Characteristic vectors of bordered matrices with infinite dimensions. Annals of Mathematics, 62(3):548, Nov. 1955.Google Scholar
[348] William H., Tranter, et al., editor. The Best of the Best: Fifty Years of Communications and Networking Research. John Wiley & Sons, Hoboken, New Jersey, 2007.
[349] J., Winters. On the capacity of radio communication systems with diversity in a Rayleigh fading environment. IEEE Journal on Selected Areas in Communications, 5(5):871–878, June 1987.Google Scholar
[350] J. H., Winters, J., Salz, and R. D., Gitlin. The capacity of wireless communication systems can be substantially increased by the use of antenna diversity. Proceedings of the 1st International Conference on Universal Personal Communications, pages 02.01/1–02.01/5, 1992.Google Scholar
[351] J. H., Winters, J., Salz, and R. D., Gitlin. The impact of antenna diversity on the capacity of wireless communication systems. IEEE Transactions on Communications, 42(234):1740–1751, 1994.Google Scholar
[352] W., Wirtinger. Zur formalen Theorie der Functionen von mehr complexen Vernderlichen. Mathematische Annalen, 97(1):357–375, 1927.Google Scholar
[353] P. W., Wolniansky, G. J., Foschini, G. D., Golden, and R. A., Valenzuela. V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel. IEEE International Symposium on Signals, Systems, and Electronics (ISSSE), pages 295–300, 1998.Google Scholar
[354] K. A., Woyach, A., Sahai, G., Atia, and V., Saligrama. Crime and punishment for cognitive radios. Allerton Conference on Communication, Control, and Computing, pages 236–243, Sept. 2008.Google Scholar
[355] John M., Wozencraft and Irwin Mark, Jacobs. Principles of Communication Engineering. John Wiley & Sons, New York, 1965.Google Scholar
[356] J., Yang and A. L., Swindlehurst. The effects of array calibration errors on DF-based signal copy performance. IEEE Transactions on Signal Processing, 43(11):2724–2732, Nov. 1995.Google Scholar
[357] S. F., Yau and Y., Bresler. A compact Cramer–Rao bound expression for parametric estimation of superimposed signals. IEEE Transactions on Signal Processing, 40(5):1226–1230, May 1992.Google Scholar
[358] T., Yucek and H., Arslan. A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys & Tutorials, 11(1):116–130, 2009.Google Scholar
[359] A., Zanella, M., Chiani, and M. Z., Win. On the marginal distribution of the eigenvalues of Wishart matrices. IEEE Transactions on Communications, 57(4):1050–1060, April 2009.Google Scholar
[360] Ephraim, Zehavi. 8-PSK trellis codes for a Rayleigh channel. IEEE Transactions on Communications, 40(5):873–884, May 1992.Google Scholar
[361] L., Zheng and D., Tse. Optimal diversity-multiplexing tradeo. in multiple antenna fading channels. IEEE Asilomar Conference on Signals, Systems and Computers, Nov. 2001.Google Scholar
[362] L., Zheng and D. N. C., Tse. Diversity and multiplexing: a fundamental trade-off in multiple-antenna channels. IEEE Transactions on Information Theory, 49(5):1073–1096, May 2003.Google Scholar
[363] A., Zhu and T. J., Brazil. Behavioral modeling of RF power amplifiers based on pruned Volterra series. IEEE Microwave and Wireless Components Letters, 14(12):563–565, Dec. 2004.Google Scholar
[364] J., Zhu and S., Govindasamy. Performance of multi-antenna mmse receivers in non-homogenous poisson networks. In Communications (ICC), 2012 IEEE International Conference. IEEE, 2012.Google Scholar
[365] V. K., Zworykin. Television system, 1938. U.S. Patent 2,141,059.

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  • References
  • Daniel W. Bliss, Arizona State University, Siddhartan Govindasamy, Olin College of Engineering, Massachusetts
  • Book: Adaptive Wireless Communications
  • Online publication: 05 May 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139519465.020
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  • References
  • Daniel W. Bliss, Arizona State University, Siddhartan Govindasamy, Olin College of Engineering, Massachusetts
  • Book: Adaptive Wireless Communications
  • Online publication: 05 May 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139519465.020
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  • References
  • Daniel W. Bliss, Arizona State University, Siddhartan Govindasamy, Olin College of Engineering, Massachusetts
  • Book: Adaptive Wireless Communications
  • Online publication: 05 May 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139519465.020
Available formats
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