Cross-layer multi-packet reception based medium access control and resource allocation for space-time coded MIMO/OFDM

Wei Lan Huang, Khaled Letaief, Ying Jun Zhang

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

In this paper, a cross-layer design framework for multi-input multi-output (MIMO)/orthogonal frequency division multiplexing (OFDM) based wireless local area networks (WLANs) is proposed. In contrast to conventional systems where the medium access control (MAC) and physical (PHY) layers are separately optimized, our proposed methodology jointly designs a multi-packet reception (MPR) based protocol with adaptive resource allocation. Specifically, a realistic collision model is employed by taking into consideration the PHY layer parameters such as channel information, space-time coded beamforming and multiuser detection, as well as sub-carrier, bit, and power allocation. The allocation problem is formulated, so as to maximize the system throughput, subject to the constraints from both the MAC and PHY layers. These constraints depend on the results of access contention, data packets' length, users' spatial correlation and the quality of channel feedback information. An iterative algorithm is then provided to obtain the optimal solution. Simulation results will show that our proposed approach achieves significant improvement in system performance such as average throughput and packet delay, compared with conventional schemes where cross-layer design and optimization is not used.

Original languageEnglish
Article number4626311
Pages (from-to)3372-3384
Number of pages13
JournalIEEE Transactions on Wireless Communications
Volume7
Issue number9
DOIs
Publication statusPublished - Sep 2008
Externally publishedYes

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Keywords

  • Adaptive resource allocation
  • Cross-layer design
  • Multi-input multi-output (MIMO)
  • Multi-packet reception
  • Multiple access
  • Orthogonal frequency division multiplexing (OFDM)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

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