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Improving spatial reuse through tuning transmit power, carrier sense threshold, and data rate in multihop wireless networks

Published:29 September 2006Publication History

ABSTRACT

The importance of spatial reuse in wireless ad-hoc networks has been long recognized as a key to improving the network capacity. One can increase the level of spatial reuse by either reducing the transmit power or increasing the carrier sense threshold (thereby reducing the carrier sense range). On the other hand, as the transmit power decreases or the carrier sense threshold increases, the SINR decreases as a result of the smaller received signal or the increased interference level. Consequently, the data rate sustained by each transmission may decrease. This leads naturally to the following questions:(1)How can the trade-off between the increased level of spatial reuse and the decreased data rate each node can sustain be quantified? In other words,is there an optimal range of transmit power/carrier sense threshold in which the network capacity is maximized? (2)What is the relation between the transmit power and the carrier sense threshold.In this paper, we study both problems, and show that (i)in the case that the achievable channel rate follows the Shannon capacity, spatial reuse depends only on the ratio of the transmit power to the carrier sense threshold; and (ii) in the case that only a set of discrete data rates are available, tuning the transmit power offers several advantages that tuning the carrier sense threshold cannot, provided that there is a sufficient number of power levels available. Based on the findings, we then propose a decentralized power and rate control algorithm to enable each node to adjust, based on its signal interference level, its transmit power and data rate. The transmit power is so determined that the transmitter can sustain a high data rate, while keeping the adverse interference effect on the other neighboring concurrent transmissions minimal. Simulation results have shown that, as compared to existing carrier sense threshold tuning algorithms, the proposed power and rate control algorithm yields higher network capacity.

References

  1. X. Yang and N. H. Vaidya. On the Physical Carrier Sense in Wireless Ad Hoc Networks. In Proceedings of IEEE INFOCOM, 2005.Google ScholarGoogle Scholar
  2. X. Yang and N. H. Vaidya. On the Physical Carrier Sense in Wireless Ad Hoc Networks. Technical Report, Univ. of Illinois -Urbana Champaign, 2004.Google ScholarGoogle Scholar
  3. X. Yang. Efficient Packet Scheduling in Wireless Ad Hoc Networks. PhD thesis, Univ. of Illinois-Urbana Champaign, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. Zhu, S. Roy, X. Guo and W. S. Conner. Maximizing Aggregate Throughput in 802.11 Mesh Networks with Physical Carrier Sensing and Two-radio Multichannel Clustering. In Proceedings of NSF-RPI Workshop on Pervasive Computing and Networking, 2004.Google ScholarGoogle Scholar
  5. J. Zhu, X. Guo, L. L. Yang, and W. S. Conner. Leveraging Spatial Reuse in 802.11 Mesh Networks with Enhanced Physical Carrier Sensing.In Proceedings of IEEE ICC, 2004.Google ScholarGoogle Scholar
  6. A. Vasan, R. Ramjee, and T. Woo. ECHOS: Enhanced Capacity 802.11 Hotspots. In Proceedings of IEEE INFOCOM 2005.Google ScholarGoogle Scholar
  7. IEEE Standard for Wireless LAN Medium Access Control (MAC)and Physical Layer (PHY) specifications. ISO/IEC 8802-11:1999 E), Aug. 1999.Google ScholarGoogle Scholar
  8. J. Fuemmeler, N. H. Vaidya, and V. V. Veeravalli. Selecting transmit powers and carrier sense thresholds for csma protocols. Technical Report, Univ. of Illinois -Urbana Champaign, 2004.Google ScholarGoogle Scholar
  9. T. Nadeem, L. Ji, A. Agrawala, and J. Agre. Location Enhancement to IEEE 802.11 DCF.In Proceedings of IEEE INFOCOM, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  10. J. P. Monks, V. Bharghavan, W. Mei, and W. Hwu. A Power Controlled Multiple Access Protocol for Wireless Packet Networks. In Proceedings of IEEE INFOCOM, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  11. L. Li, J. Y. Halpern, P. Bahl, Y. -M. Wang, and R. Wattenhofer. Analysis of a Cone-based Distributed Topology Control Algorithm for Wireless Multi-hop Networks. In Proceedings of ACM Symposium on Principles of Distributed Computing, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. S. Narayanaswamy, V. Kawadia, R. S. Sreenivas, and P. R. Kumar. Power Control in Ad-hoc Networks: Theory, Architecture, Algorithm and Implementation of the COMPOW Protocol. In Proceedings of European Wireless 2002, Next Generation Wireless Networks: Technologies, Protocols, Services and Applications, 2002.Google ScholarGoogle Scholar
  13. R. Ramanathan and R. Rosales-Hain. Topology Control of Multihop Wireless Networks Using Transmit Power Adjustment. In Proceedings of IEEE INFOCOM, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  14. V. Rodoplu and T. H. Meng. Minimum Energy Mobile Wireless Networks. IEEE J. Selected Areas in Communications, 17(8):1333--1344, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. N. Li, J. C. Hou and L. Sha. Design and Analysis of a MST-based Distributed Topology Control Algorithm for Wireless Ad-hoc Networks. IEEE Trans. on Wireless Communications, 4(3):1195--1207, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. N. Li and J. C. Hou. Topology Control in Heterogeneous Wireless Networks: Problems and Solutions. In Proceedings of IEEE INFOCOM, 2004.Google ScholarGoogle Scholar
  17. A. Muqattash and M. Krunz. Power controlled dual channel (PCDC)medium access protocol for wireless ad hoc networks. In Proceedings of IEEE INFOCOM, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  18. A. Muqattash and M. Krunz. A single-channel solution for transmission power control in wireless ad hoc networks. In Proceedings of MobiHoc, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. J. Yee and H. Pezeshki-Esfahani. Understanding wireless lan performance trade-offs. CommsDesign.Com, 2002.Google ScholarGoogle Scholar
  20. A. Akella, G. Judd, P. Steenkiste, and S. Seshan. Self Management in Chaotic Wireless Deployments. In Proceedings of ACM MobiCom, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. A. Miu, H. Balakrishnan, and C. E. Koksa. Improved Loss Resilience with Multi-Radio Diversity in Wireless Networks. In Proceedings of ACM Mobicom, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. J. Kivinen, X. Zhao, and P. Vainikainen. Empirical characterization of wideband indoor radio channel at 5.3 ghz. IEEE trans.on Antenna and Propagation, 49(8):1192--1203, 2001.Google ScholarGoogle Scholar
  23. R. Hekmat and P. Van Mieghem. Interference in Wireless Multi-hop Ad-hoc Networks and its Effect on Network Capacity. Med-hoc-Net, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Bruce Hajek, Arvind Krishna, and Richard O. LaMaire. On the capture probability for a large number of stations. IEEE Trans.on Communications, 45(2):254--260, 1997.Google ScholarGoogle ScholarCross RefCross Ref
  25. John M. Wozencraft and Irwin Mark Jacobs. Principles of Communication Engineering, Prospect, IL: Waveland Press, Inc., 1990.Google ScholarGoogle Scholar
  26. W. C. Y. Lee. Elements of Cellular Mobile Radio Systems. IEEE Trans.on Vehicular Technology, 35(2):48--56, 1986.Google ScholarGoogle ScholarCross RefCross Ref

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          cover image ACM Conferences
          MobiCom '06: Proceedings of the 12th annual international conference on Mobile computing and networking
          September 2006
          428 pages
          ISBN:1595932860
          DOI:10.1145/1161089

          Copyright © 2006 ACM

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          Publication History

          • Published: 29 September 2006

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