2nd International ICST Conference on Communications and Networking in China

Research Article

Spatial multiplexing capacity analysis for three-dimensional wireless personal area networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469530,
        author={Lin X. Cai and Lin Cai and Xuemin (Sherman) Shen and Jon W. Mark},
        title={Spatial multiplexing capacity analysis for three-dimensional wireless personal area networks},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Analytical models  Communications technology  Interference  Protocols  Signal to noise ratio  Space technology  Throughput  Wireless communication  Wireless networks  Wireless personal area networks},
        doi={10.1109/CHINACOM.2007.4469530}
    }
    
  • Lin X. Cai
    Lin Cai
    Xuemin (Sherman) Shen
    Jon W. Mark
    Year: 2008
    Spatial multiplexing capacity analysis for three-dimensional wireless personal area networks
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469530
Lin X. Cai1, Lin Cai2, Xuemin (Sherman) Shen1, Jon W. Mark1
  • 1: Department of Electrical and Computer Engineering University of Waterloo, Waterloo, ON N2L 3G1, Canada
  • 2: Department of Electrical and Computer Engineering University of Victoria, Victoria, BC V8W 3P6, Canada

Abstract

In this paper, we propose a transmission model which considers the characteristics of rate adaptive Ultra-wide band (UWB) wireless communication technologies. Based on the model, we study the spatial multiplexing capacity of UWBbased wireless personal area networks (WPANs). Furthermore, since wireless communication is in three dimensional (3D) space, we derive the expected network throughput of a 3D WPAN, as a function of the number of flows sharing the space and other system parameters, e.g., path loss exponent, background noise, etc. The analytical results are useful to determine how to maximize the spatial multiplexing capacity of a 3D wireless network by appropriately scheduling concurrent transmissions. Extensive simulation results are given to validate the accuracy of the analysis. Our approach can also be extended to quantify the spatial multiplexing gain in other wireless networks.