Investigation of a cross-layer link adaptation algorithm for IEEE 802.11n networks

  • Authors:
  • Zuoyin Tang;Jianhua He;Yan Zhang;Zhong Fan

  • Affiliations:
  • University of Bedfordshire, UK;Swansea University, UK;University of Oslo, Norway;Toshiba Telecommunications Research Laboratory, Bristol, UK

  • Venue:
  • Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
  • Year:
  • 2010

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Abstract

Link adaptation is a critical component of IEEE 802.11 systems, which adapts transmission rates to dynamic wireless channel conditions. In this paper we investigate a general cross-layer link adaptation algorithm which jointly considers the physical layer link quality and random channel access at the MAC layer. An analytic model is proposed for the link adaptation algorithm. The underlying wireless channel is modeled with a multiple state discrete time Markov chain. Compared with the pure link quality based link adaptation algorithm, the proposed cross-layer algorithm can achieve considerable performance gains of up to 20%.