Wireless Personal Communications

, Volume 51, Issue 3, pp 379–397 | Cite as

Cross-Layer Analysis of Joint Rate and Power Adaptation in Nakagami Fading Channels with Multiple-User Contention

  • Li-Chun WangEmail author
  • Jane-Hwa Huang
  • Anderson Chen
  • Chung-Ju Chang


Adaptively adjusting transmit rate and power concurrently to enhance goodput and save energy is a challenging issue in a wireless local area network (WLAN) because goodput enhancement and energy saving are usually two contradictory goals. In this paper, we propose channel-driven rate and power adaptation (CDRPA) schemes and develop a physical (PHY)/medium access control (MAC) cross-layer analytical method incorporating the impacts of Nakagami fading channel and the carrier sense multiple access (CSMA) MAC protocol. The CDRPA scheme has much lower computation complexity than the energy-optimal complete-search scheme. In a multiuser contention scenario, we analyze the energy efficiency and the goodput of the power-first and rate-first CDRPA schemes as well as the energy-optimal complete-search adaptation scheme. At the cost of lower goodput, the power-first scheme has better energy efficiency than the rate-first CDRPA scheme, whereas if the goodput is the main concern, the rate-first CDRPA scheme shall be chosen due to better goodput performance. More interestingly, we find that the power-first CDRPA scheme can achieve about the same goodput and energy efficiency as the energy-optimal complete-search link adaptation scheme.


Wireless local area network (WLAN) Rate and power adaptation Cross-layer analysis 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kamerman A., Monteban L. (1997) WaveLAN-II: A high-performance wireless LAN for the unlicensed band. Bell System Technical Journal 2(33): 118–133CrossRefGoogle Scholar
  2. 2.
    Eckhardt, U., Lenk, M., & Grell, M. (2003). Transmitter Adjustment Based Transmission Statistics. U.S. Patent 0,086,058, issued on June 19, 2003.Google Scholar
  3. 3.
    Prado, J. D., & Choi, S. (2004) Method and System for Generating and Updating Transmission Rate for Link Adaptation in IEEE 802.11 WLAN. U.S. Patent 0,017,790, issued on January 29, 2004.Google Scholar
  4. 4.
    Holland, G., Vaidya, N., & Bahl, P. (2001). A rate-adaptive MAC protocol for multi-hop wireless networks. The ACM Annual International Conference on Mobile Computing and Networking, July 2001 (pp. 236–251).Google Scholar
  5. 5.
    Qiao D., Choi S., Shin K. G. (2002) Goodput analysis and link adaptation for IEEE 802.11a wireless LANs. IEEE Transactions on Mobile Computing 1: 278–292CrossRefGoogle Scholar
  6. 6.
    Wang, L.-C., Lin, Y.-W., & Liu, W.-C. (2004). Cross-layer goodput analysis for rate adaptive IEEE 802.11a WLAN in the generalized Nakagami fading channel, IEEE International Conference on Communications, June 2004 (pp. 2312–2316).Google Scholar
  7. 7.
    Liu, W.-C., Wang, L.-C., & Lin, Y.-W. (2004). Physical layer effects on the MAC goodput performance for the rate adaptive IEEE 802.11a/g WLAN. IEEE Wireless Communications and Networking Conference, 3, 21–25.Google Scholar
  8. 8.
    Wang, L.-C., Yen, K.-N., Chen, M.-B., Liu, W.-C., Yang, Y.-R., & Huang, P.-J. (2008). Cross-Layer Rate Adaptation Mechanism for WLAN, U.S. Patent 7,423,970, issued on September 9, 2008.Google Scholar
  9. 9.
    Choi, S., & Soomro, A. A. (2002). Updating Path Loss Estimation for Power Control and Link Adaptation in IEEE 802.11h WLAN, U.S. Patent 0,168,993, issued on November 14, 2002.Google Scholar
  10. 10.
    Leung K. K., Wang L.-C. (2002) Integrated link adaptation and power control to improve error and throughput performance in broadband wireless packet network. IEEE Transactions on Wireless Communications 1: 619–629CrossRefGoogle Scholar
  11. 11.
    Qiao, D., Choi, S., Jain, A., & Shin, K. G. (2003). MiSer: An optimal low-energy transmission strategy for IEEE 802.11 a/h, The ACM Annual International Conference on Mobile Computing and Networking, September 2003 (pp. 14–19).Google Scholar
  12. 12.
    Wang, L.-C., Liu, W.-C., Chen, A., Yen, K.-N. (2009, May). Joint rate and power adaptation for wireless local area networks in generalized nakagami fading channels, to appear in IEEE Transactions on Vehicular Technology. [Pre-print version is available at].
  13. 13.
    IEEE 802.11a. (1999, September). Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications: High-speed physical layer in 5 GHz band, supplement to IEEE 802.11 Standard.Google Scholar
  14. 14.
    Nakagami M. (1960) Statistical methods in radio wave propagation. Pergamon Press, Oxford, UKGoogle Scholar
  15. 15.
    Alouini, M.-S., & Goldsmith, A. J. (2000, May). Adaptive modulation over Nakagami fading channels. Wireless Personal Communications, 13, 119–143.Google Scholar
  16. 16.
    Filho J. C. S. S., Yacoub M. D., Fraidenraich G. (2007) A simple accurate method for generating autocorrelated Nakagami-m envelope sequences. IEEE Communications Letters 11(3): 231–233CrossRefGoogle Scholar
  17. 17.
    Dong, X. J., & Varaiya, P. (2005, February). Saturation throughput analysis of IEEE 802.11 wireless LANs for a lossy channel. IEEE Communications Letters, 9(2), 100–102.Google Scholar

Copyright information

© Springer Science+Business Media, LLC. 2009

Authors and Affiliations

  • Li-Chun Wang
    • 1
    Email author
  • Jane-Hwa Huang
    • 1
  • Anderson Chen
    • 2
  • Chung-Ju Chang
    • 1
  1. 1.Department of Communication EngineeringNational Chiao Tung UniversityHsinchuTaiwan, ROC
  2. 2.Information & Communications Research LaboratoriesIndustrial Technology Research Institute of TaiwanHsinchuTaiwan, ROC

Personalised recommendations