Skip to main content

Advertisement

SmartMIMO: An Energy-Aware Adaptive MIMO-OFDM Radio Link Control for Next-Generation Wireless Local Area Networks

Article metrics

  • 1249 Accesses

  • 30 Citations

Abstract

Multiantenna systems and more particularly those operating on multiple input and multiple output (MIMO) channels are currently a must to improve wireless links spectrum efficiency and/or robustness. There exists a fundamental tradeoff between potential spectrum efficiency and robustness increase. However, multiantenna techniques also come with an overhead in silicon implementation area and power consumption due, at least, to the duplication of part of the transmitter and receiver radio front-ends. Although the area overhead may be acceptable in view of the performance improvement, low power consumption must be preserved for integration in nomadic devices. In this case, it is the tradeoff between performance (e.g., the net throughput on top of the medium access control layer) and average power consumption that really matters. It has been shown that adaptive schemes were mandatory to avoid that multiantenna techniques hamper this system tradeoff. In this paper, we derive smartMIMO: an adaptive multiantenna approach which, next to simply adapting the modulation and code rate as traditionally considered, decides packet-per-packet, depending on the MIMO channel state, to use either space-division multiplexing (increasing spectrum efficiency), space-time coding (increasing robustness), or to stick to single-antenna transmission. Contrarily to many of such adaptive schemes, the focus is set on using multiantenna transmission to improve the link energy efficiency in real operation conditions. Based on a model calibrated on an existing reconfigurable multiantenna transceiver setup, the link energy efficiency with the proposed scheme is shown to be improved by up to 30% when compared to nonadaptive schemes. The average throughput is, on the other hand, improved by up to 50% when compared to single-antenna transmission.

[1234567891011121314151617181920212223]

References

  1. 1.

    Gershman AB: Robust adaptive beamforming: an overview of recent trends and advances in the field. Proceedings of the 4th International Conference on Antenna Theory and Techniques (ICATT '03), September 2003, Sevastopol, Ukraine 1: 30-35.

  2. 2.

    Alamouti SM: A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications 1998,16(8):1451-1458. 10.1109/49.730453

  3. 3.

    Tarokh V, Jafarkhani H, Calderbank AR: Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory 1999,45(5):1456-1467. 10.1109/18.771146

  4. 4.

    Foschini GJ, Golden GD, Valenzuela RA, Wolniansky PW: Simplified processing for high spectral efficiency wireless communication employing multi-element arrays. IEEE Journal on Selected Areas in Communications 1999,17(11):1841-1852. 10.1109/49.806815

  5. 5.

    Zheng L, Tse DNC: Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels. IEEE Transactions on Information Theory 2003,49(5):1073-1096. 10.1109/TIT.2003.810646

  6. 6.

    Zargari M, Su DK, Yue CP, et al.: A 5-GHz CMOS transceiver for IEEE 802.11a wireless LAN systems. IEEE Journal of Solid-State Circuits 2002,37(12):1688-1694. 10.1109/JSSC.2002.804353

  7. 7.

    Behzad A, Lin L, Shi ZM, et al.: Direct-conversion CMOS transceiver with automative frequency control for 802.11a wireless LANs. Proceedings of IEEE International Solid-State Circuits Conference (ISSCC '03), February 2003, San Francisco, Calif, USA 1: 356-357.

  8. 8.

    Debaillie B, Bougard B, Lenoir G, Vandersteen G, Catthoor F: Energy-scalable OFDM transmitter design and control. Proceedings of the IEEE 43rd Design Automation Conference (DAC '06), July 2006, San Francisco, Calif, USA 536-541.

  9. 9.

    Shuguang C, Goldsmith AJ, Bahai A: Energy-constrained modulation optimization for coded systems. Proceedings of IEEE Global Telecommunications Conference (Globecom '03), December 2003, San Francisco, Calif, USA 1: 372-376.

  10. 10.

    Liu W, Li X, Chen M: Energy efficiency of MIMO transmissions in wireless sensor networks with diversity and multiplexing gains. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '05), March 2005, Philadelphia, Pa, USA 4: 897-900.

  11. 11.

    Li X, Chen M, Liu W: Application of STBC-encoded cooperative transmissions in wireless sensor networks. IEEE Signal Processing Letters 2005,12(2):134-137.

  12. 12.

    Heath RW Jr., Paulraj AJ: Switching between diversity and multiplexing in MIMO systems. IEEE Transactions on Communications 2005,53(6):962-972. 10.1109/TCOMM.2005.849774

  13. 13.

    Catreux S, Erceg V, Gesbert D, Heath RW Jr.: Adaptive modulation and MIMO coding for broadband wireless data networks. IEEE Communications Magazine 2002,40(6):108-115. 10.1109/MCOM.2002.1007416

  14. 14.

    Halmi MH, Tze DCH: Adaptive MIMO-OFDM combining space-time block codes and spatial multiplexing. Proceedings of the 8th IEEE International Symposium on Spread Spectrum Techniques and Applications (ISSSTA '04), August 2004, Sydney, Australia 444-448.

  15. 15.

    Codreanu M, Tujkovic D, Latva-aho M: Adaptive MIMO-OFDM systems with estimated channel state information at TX side. Proceedings of IEEE International Conference on Communications (ICC '05), May 2005, Seoul, Korea 4: 2645-2649.

  16. 16.

    Xia P, Zhou S, Giannakis GB: Adaptive MIMO-OFDM based on partial channel state information. IEEE Transactions on Signal Processing 2004,52(1):202-213. 10.1109/TSP.2003.819986

  17. 17.

    Bougard B, Pollin S, Dejonghe A, Catthoor F, Dehaene W: Cross-layer power management in wireless networks and consequences on system-level architecture. Signal Processing 2006,86(8):1792-1803. 10.1016/j.sigpro.2005.09.035

  18. 18.

    Wouters M, Huybrechts T, Huys R, De Rore S, Sanders S, Umans E: PICARD: platform concepts for prototyping and demonstration of high speed communication systems. Proceedings of the 13th IEEE International Workshop on Rapid System Prototyping (IWRSP '02), July 2002, Darmstadt, Germany 166-170.

  19. 19.

    IEEE Std 802.11a : Part 11: wireless LAN medium access control (MAC) and physical layer (PHY) specifications. 1999.

  20. 20.

    Valle S, Poloni A, Villa G: 802.11 TGn proposal for PHY abstraction in MAC simulators. IEEE 802.11, 04/0184, February, 2004, ftp://ieee:wireless@ftp.802wirelessworld.com/11/04/11-04-0184-00-000n-proposal-phy-abstraction-in-mac-simulators.doc

  21. 21.

    Schurgers C, Raghunathan V, Srivastava MB: Power management for energy-aware communication systems. ACM Transactions on Embedded Computing Systems 2003,2(3):431-447. 10.1145/860176.860184

  22. 22.

    Erceg V, Schumacher L, Kyritsi P, et al.: TGn channel models. Tech. Rep. IEEE 802.11-03/940r4 2004.

  23. 23.

    Miettinen KM: Non-Linear Multi-Objective Optimization. Kluwer Academic, Boston, Mass, USA; 1999.

Download references

Author information

Correspondence to Bruno Bougard.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Keywords

  • Medium Access Control
  • Wireless Local Area Network
  • Medium Access Control Layer
  • Spectrum Efficiency
  • Average Power Consumption