4th Workshop on Spatial Stochastic Models for Wireless Networks

Research Article

Adaptive Rate Control over Multiple Spatial Channels in Ad Hoc Networks

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  • @INPROCEEDINGS{10.4108/ICST.WIOPT2008.3193,
        author={Andrew M. Hunter and Jeffrey G. Andrews},
        title={Adaptive Rate Control over Multiple Spatial Channels in Ad Hoc Networks},
        proceedings={4th Workshop on Spatial Stochastic Models for Wireless Networks},
        publisher={IEEE},
        proceedings_a={SPASWIN},
        year={2008},
        month={8},
        keywords={Ad hoc networks Adaptive algorithm Adaptive control Algorithm design and analysis Communication system control Diversity methods Frequency Power control Programmable control Wireless networks},
        doi={10.4108/ICST.WIOPT2008.3193}
    }
    
  • Andrew M. Hunter
    Jeffrey G. Andrews
    Year: 2008
    Adaptive Rate Control over Multiple Spatial Channels in Ad Hoc Networks
    SPASWIN
    IEEE
    DOI: 10.4108/ICST.WIOPT2008.3193
Andrew M. Hunter1,*, Jeffrey G. Andrews1,*
  • 1: Wireless Networking and Communications Group (WNCG) of the Electrical and Computer Engineering Department, The University of Texas at Austin, Austin, TX, 78712-0240 USA
*Contact email: hunter@ece.utexas.edu, jandrews@ece.utexas.edu

Abstract

In ad hoc networks of nodes equipped with multiple antennas, the tradeoff between spatial multiplexing and diversity gains in each link impacts the overall network capacity. An optimal algorithm is developed for adaptive rate and power control for a communication link over multiple channels in a Poisson field of interferers. The algorithm and its analysis demonstrate that optimum area spectral efficiency is achieved when each communication link in a large distributed wireless network properly balances between diversity and multiplexing techniques. The channel adaptive algorithm is shown to be superior to traditional and static multi-antenna architectures, as well as to certain channel adaptive strategies previously proposed. Lastly, the adaptive rate control algorithm is coupled with an optimum frequency hopping scheme to achieve the maximum area spectral efficiency.