Abstract
The combination of orbital angular momentum (OAM) and multi-input multi-output (MIMO) is identified as an effective solution to improve energy efficiency (EE) in the next-generation wireless communication. According to the orthogonality of OAM, we adopt uniform circular array (UCA) to establish the transmitter and receiver of the OAM-MIMO system in this paper. Our goal is to maximize the EE of the system whilst satisfying the maximum total transmit power and the minimum capacity requirement of each mode. Due to the inter-interference of different UCA at the same mode, the optimization problem involving the power allocation of modes is non-convex, thus is difficult to solve directly. To tackle this problem, the optimization problem is transformed into two sub-problems by using the fractional programming. Then we develop a dual-layer iteration algorithm where the nonconvex power allocation problem is transformed into a convex problem by exploiting the the first-order Taylor approximation in the inner layer, and the dichotomy is used to update EE in the outer layer. Simulation results confirm the effectiveness of the proposed solution, and demonstrate the superiority of the OAM-MIMO system over the conventional MIMO system from the perspective of EE.
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References
Edfors, O., Johansson, A.J.: Is orbital angular momentum (OAM) based radio communication an unexploited area? IEEE Trans. Antennas Propag. 60(2), 1126–1131 (2012)
Opare, K.A., Kuang, Y., Kponyo, J.J.: Mode combination in an ideal wireless OAM-MIMO multiplexing system. IEEE Wireless Commun. Lett. 4(4), 449–452 (2015)
Dong, J., et al.: Capacity analysis of orbital angular momentum multiplexing transmission system. In: 2020 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–5, June 2020
Yagi, Y., Sasaki, H., Yamada, T., Lee, D.: 200 Gbit/s wireless transmission using dual-polarized OAM-MIMO multiplexing with uniform circular array on 28 Ghz band. In: IEEE Antennas Wireless Propagation Letters, pp. 1–1 (2021)
Zheng, S., Hui, X., Jin, X., Chi, H., Zhang, X.: Transmission characteristics of a twisted radio wave based on circular traveling-wave antenna. IEEE Trans. Antennas Propag. 63(4), 1530–1536 (2015)
Gong, Y., et al.: Generation and transmission of OAM-carrying vortex beams using circular antenna array. IEEE Trans. Antennas Propag. 65(6), 2940–2949 (2017)
Lee, D., et al.: Demonstration of an orbital angular momentum (OAM) multiplexing at 28 GHz. In: IEICE General Conference, B-5-90. p. 381, March 2018
Wangjoo-Lee, Kim, J., Song, M.S.: Experimental results of triply multiplexed microwave orbital angular momentum mode transmission. In: 2016 International Conference on Information and Communication Technology Convergence (ICTC), pp. 765–767, October 2016
Sasaki, H., et al.: Experiment on over-100-Gbps wireless transmission with OAM-MIMO multiplexing system in 28-GHz band. In: 2018 IEEE Global Communications Conference (GLOBECOM), pp. 1–6, December 2018
Lee, D., et al.: An experimental demonstration of 28 Ghz band wireless OAM-MIMO multiplexing. In: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), pp. 1–5, June 2018
Yuan, Y., Zhang, Z., Cang, J., Wu, H., Zhong, C.: Capacity analysis of UCA-based OAM multiplexing communication system. In: 2015 International Conference on Wireless Communications Signal Processing (WCSP), pp. 1–5, October 2015
Jing, H., Cheng, W., Xia, X., Zhang, H.: Orbital-angular-momentum versus MIMO: orthogonality, degree of freedom, and capacity. In: 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1–7, September 2018
Saito, S., Suganuma, H., Ogawa, K., Maehara, F.: Performance analysis of OAM-MIMO using sic in the presence of misalignment of beam axis. In: 2019 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–6, May 2019
Tang, J., Luo, J., Liu, M., So, D.K.C., Alsusa, E., Chen, G., Wong, K., Chambers, J.A.: Energy efficiency optimization for NOMA with SWIPT. IEEE Journal of Selected Topics in Signal Processing 13(3), 452–466 (2019)
Chen, R., Tian, Z., Zhou, H., Long, W.: OAM-based concentric spatial division multiplexing for cellular IOT terminals. IEEE Access 8, 59659–59669 (2020)
Cho, Y.S., Kim, J., Yang, W.Y., Kang, C.G.: MIMO-OFDM Wireless Communications with MATLAB. IEEE (2010)
Acknowledgement
This work has been supported in part by Nation Key Research and Development Project under Grant 2019YFB1804100, in part by the National Natural Science Foundation of China under Grant 61971194, in part by Key Research and Development Project of Guangdong Province under Grant 2019B010156003, in part by the Natural Science Foundation of Guangdong Province under Grant 2019A1515011607, in part by the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (No. 2019D06), in part by the Fundamental Research Funds for the Central Universities under Grant 2019JQ08, and in part by the Research Fund Program of Guangdong Key Laboratory of Aerospace Communication and Networking Technology under Grant 2018B030322004.
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Tang, J. et al. (2021). Energy Efficient Resource Allocation for UCA-Based OAM-MIMO System. In: Wang, X., Wong, KK., Chen, S., Liu, M. (eds) Artificial Intelligence for Communications and Networks. AICON 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 396. Springer, Cham. https://doi.org/10.1007/978-3-030-90196-7_17
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DOI: https://doi.org/10.1007/978-3-030-90196-7_17
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