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Channel Access Scheme for MIMO-Enabled Ad Hoc Networks with Adaptive Diversity/Multiplexing Gains

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Abstract

Transmission power control (TPC) is used in wireless networks to improve channel reuse and/or reduce energy consumption. It has been often applied to single-input single-output (SISO) systems, where each node is equipped with a single antenna. Multi-input multi-output (MIMO) systems can improve the throughput or the signal-to-noise ratio (SNR) by providing multiplexing or diversity gains, respectively. In this paper, we incorporate a power-controlled MAC protocol for a wireless network with two antennas per node. Our protocol, coined CMAC, combines different types of MIMO gains, allowing for dynamic switching between diversity and multiplexing modes so as to maximize a utility function that depends on both energy consumption and throughput. CMAC adapts the “antenna mode,” the transmission power, and the modulation order on a per-packet basis. By “antenna mode” we mean one of five possible transmit/receive antenna configurations: 1 × 1 (SISO), 2 × 1 (MISO-D), 1 × 2 (SIMO-D), 2 × 2 (MIMO-D), and 2 × 2 (MIMO-M). The second, third, and fourth configurations offer a diversity gain, whereas the last configuration offers a multiplexing gain. By using control packets to bound the transmission power of potentially interfering terminals, CMAC allows for multiple interference-limited transmissions to take place in the vicinity of a receiving terminal. We study via simulations the performance of CMAC in ad hoc topologies. Our results indicate that relative to non-adaptive protocols, CMAC achieves a significant improvement in both the overall energy consumption and the throughput.

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Notes

  1. Another approach to conserve energy is to put inactive nodes to sleep. Such an approach is complementary to TPC, and is not considered in this paper.

References

  1. International Standard ISO/IEC (1999) 8802-11 ANSI/IEEE Std 802.11, 1999 edition. Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications

  2. Gupta P, Kumar PR (2000) The capacity of wireless networks. IEEE Trans Inf Theory 46(2):388–404, March

    Article  MATH  MathSciNet  Google Scholar 

  3. Monks J, Bharghavan V, Hwu W-M (2001) A power controlled multiple access protocol for wireless packet networks. In: Proceedings of the IEEE INFOCOM conference, Anchorage, April 2001, pp 219–228

  4. Wu S-L, Tseng Y-C, Sheu J-P (2000) Intelligent medium access for mobile ad hoc networks with busy tones and power control. IEEE J Sel Areas Commun 18(9):1647–1657, September

    Article  Google Scholar 

  5. Krunz M, Muqattash A, Lee S-J (2004) Transmission power control in wireless ad hoc networks: challenges, solutions, and open issues. IEEE Netw 18(5):8–14, September

    Article  Google Scholar 

  6. Agarwal S, Krishnamurthy S, Katz RH, Dao SK (2001) Distributed power control in ad-hoc wireless networks. In: Proceedings of the IEEE international symposium on personal, indoor, and mobile radio communications (PIMRC), San Diego, September 2001, pp 59–66

  7. Gomez J, Campbell AT, Naghshineh M, Bisdikian C (2003) PARO: supporting dynamic power controlled routing in wireless ad hoc networks. ACM/Kluwer J Wirel Netw (WINET) 9(5):443–460, September

    Article  Google Scholar 

  8. Jung E-S, Vaidya NH (2002) A power control MAC protocol for ad hoc networks. In: Proceedings of the ACM MobiCom conference, Atlanta, 23–26 September 2002

  9. Muqattash A, Krunz M (2004) A distributed transmission power control protocol for mobile ad hoc networks. IEEE Trans Mob Comput 3(2):113–128, April/June

    Article  Google Scholar 

  10. Muqattash A, Krunz M (2005) POWMAC: a single-channel power-control protocol for throughput enhancement in wireless ad hoc networks. IEEE J Sel Areas Commun 23(5):1067–1084 (Special Issue on Advances in Military Wireless Communications), May

    Article  Google Scholar 

  11. Xiao Y (2003) A simple and effective priority scheme for IEEE 802.11. IEEE Commun Lett 7(2):70–72, February

    Article  Google Scholar 

  12. Xiao Y (2004) An analysis for differentiated services in IEEE 802.11 and IEEE 802.11e wireless LANs. In: Proceedings of the international conference on distributed computing systems (ICDCS), Tokyo, March 2004, pp 32–39

  13. Paulraj A, Nabar R, Gore D (2003) Introduction to space-time wireless communications. Cambridge University Press, Cambridge

    Google Scholar 

  14. Cui S, Goldsmith AJ, Bahai A (2004) Energy-efficiency of MIMO and cooperative MIMO in sensor networks. IEEE J Sel Areas Commun 22(6):1089–1098, August

    Article  Google Scholar 

  15. Cui S, Goldsmith AJ, Bahai A (2005) Energy-constrained modulation optimization. IEEE Trans Wirel Commun 4(5):2349–2360, September

    Article  Google Scholar 

  16. Min R, Chadrakasan A (2002) A framework for energy-scalable communication in high-density wireless networks. In: Proceedings of the international symposium on low power electronics and design (ISLPED), Monterey, August 2002, pp 36–41

  17. Schurgers C, Aberthorne O, Srivastava MB (2001) Modulation scaling for energy aware communication systems. In: Proceedings of the international symposium on low power electronics and design (ISLPED), Huntington Beach, August 2001, pp 96–99

  18. Chen B, Gans MJ (2005) MIMO communications in ad hoc networks. In Proceedings of the IEEE semiannual vehicular technology conference (VTC), May 2005, pp 2434–2438

  19. Gilbert JM, Choi W-J, Sun Q (2005) MIMO technology for advanced wireless local area networks. In: Proceedings of the design automation conference (DAC), June 2005, pp 413–415

  20. Jafarkhani H, Yousefi’zadeh H, Kazemitabar J (2005) Capacity-based connectivity of MIMO fading ad-hoc networks. In: Proceedings of the IEEE GLOBECOM conference, November 2005, pp 2827–2831

  21. Aniba G, Aissa S (2005) Cross-layer design for scheduling and antenna sharing in MIMO networks. In: Proceedings of the IEEE GLOBECOM conference, November 2005, pp 3185–3189

  22. Gorokhov A, Gore D, Paulraj A (2003) Receive antenna selection for MIMO spatial multiplexing: theory and algorithms. IEEE Trans Signal Process 51(11):2796–2807, November

    Article  MathSciNet  Google Scholar 

  23. Tse D, Viswanath P, Zheng L (2004) Diversity-multiplexing tradeoff in multiple-access channels. IEEE Trans Inf Theory 50(9):1859–1874, September

    Article  MathSciNet  Google Scholar 

  24. Dai L, Sfar S, Letaief K (2005) Towards a better diversity-multiplexing tradeoff in MIMO systems. In: Proceedings of the international conference on communications (ICC), May 2005, pp 2422–2426

  25. Sana S, Dai L, Letaief K (2005) Optimal diversity-multiplexing tradeoff with group detection for MIMO systems. IEEE Trans Commun 53(7):1178–1190, July

    Article  Google Scholar 

  26. Narasimhan R (2006) Finite-SNR diversity-multiplexing tradeoff for correlated Rayleigh and Rician MIMO channels. IEEE Trans Inf Theory 52(9):3965–3979, September

    Article  MathSciNet  Google Scholar 

  27. Kountouris M, Francisco R, Gesbert D (2006) Multiuser diversity-multiplexing tradeoff in MIMO broadcast channels with limited feedback. In: Proceedings of IEEE annual asilomar conference on signals, systems, and computers, October 2006

  28. Sundaresan K, Sivakumar R (2005) Routing in ad-hoc networks with MIMO links. In: Proceedings of the IEEE international conference on network protocols (ICNP), November 2005, pp 85–98

  29. Sundaresan K, Sivakumar R, Ingram MA, Chang T-Y (2004) Medium access control in ad-hoc networks with MIMO links: optimization considerations and algorithms. IEEE Trans Mob Comput 3(4):350–365, October–December

    Article  Google Scholar 

  30. Hu M, Zhang J (2004) MIMO ad hoc networks: medium access control, saturation throughput, and optimal hop distance. J Commun Netw 6(4):317–330 (Special Issue on Mobile Ad Hoc Networks), December

    Google Scholar 

  31. Wei S (2007) Diversity-multiplexing tradeoff of asynchronous cooperative diversity in wireless networks. IEEE Trans Inf Theory 53(11):4150–4172, November

    Article  Google Scholar 

  32. Ratnarajah T, Ding Z, Cowan C (2007) On the diversity-multiplexing tradeoff for wireless cooperative multiple access systems. IEEE Trans Signal Process 55(9):4627–4638, September

    Article  MathSciNet  Google Scholar 

  33. Chen D, Laneman J (2006) The diversity-multiplexing tradeoff for the multi-access relay channel. In: Proceedings of the conference on information sciences and systems (CISS), March 2006, pp 1324–1328

  34. Siam MZ, Krunz M, Muqattash A, Cui S (2006) Adaptive multi-antenna power control in wireless networks. In: Proceedings of the international wireless communications and mobile computing conference (IWCMC), July 2006, pp 875–880

  35. Siam MZ, Krunz M (2007) Throughput-oriented power control in MIMO-based ad hoc networks. In: Proceedings of the IEEE international conference on communications (ICC), June 2007

  36. Mesquite Software Incorporation (2006) Mesquite Software homepage. http://www.mesquite.com

  37. Broch J, Maltz DA, Johnson DB, Hu Y-C, Jetcheva J (1998) A performance comparison of multi-hop wireless ad hoc network routing protocols. In: Proceedings of the ACM MobiCom conference, October 1998, pp 85–97

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Correspondence to Mohammad Z. Siam.

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This research was supported in part by NSF (under grants CNS-0721935, CNS-0627118, CNS-0325979, and CNS-0313234), Raytheon, and Connection One (an I/UCRC NSF/industry/university consortium). Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation. An abridged version of this paper was presented at the BROADNETS 2007 Conference, North Carolina, USA, September 10–14, 2007.

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Siam, M.Z., Krunz, M. Channel Access Scheme for MIMO-Enabled Ad Hoc Networks with Adaptive Diversity/Multiplexing Gains. Mobile Netw Appl 14, 433–450 (2009). https://doi.org/10.1007/s11036-008-0107-8

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