ChinaCom2008-Wireless Communications and Networking Symposium

Research Article

On the Maximum Throughput of A Single Chain Wireless Multi-Hop Path

  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4685050,
        author={Guoqiang Mao and Lixiang Xiong and Xiaoyuan Ta},
        title={On the Maximum Throughput of A Single Chain Wireless Multi-Hop Path},
        proceedings={ChinaCom2008-Wireless Communications and Networking Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2008-WCN},
        year={2008},
        month={11},
        keywords={Throughput Wireless Multi-hop},
        doi={10.1109/CHINACOM.2008.4685050}
    }
    
  • Guoqiang Mao
    Lixiang Xiong
    Xiaoyuan Ta
    Year: 2008
    On the Maximum Throughput of A Single Chain Wireless Multi-Hop Path
    CHINACOM2008-WCN
    IEEE
    DOI: 10.1109/CHINACOM.2008.4685050
Guoqiang Mao1,*, Lixiang Xiong1,*, Xiaoyuan Ta1,*
  • 1: School of Electrical and Information Engineering The University of Sydney NSW 2006, Australia
*Contact email: guoqiang@ee.usyd.edu.au, xlx@ee.usyd.edu.au, xiaoyuant@ee.usyd.edu.au

Abstract

In this paper, the maximum achievable throughput of a single chain wireless multi-hop path is investigated analytically. First, we prove that in an error free radio environment, a wireless multi-hop path (the number of hops k>=3), in which all nodes are optimally placed and all links have an identical normalized capacity of 1, has a maximum achievable throughput of 1/3. Moreover, we show that this maximum throughput can only be achieved when all links of the path are separated into three maximal independent sets and each set of links become active alternatively for the same amount of time. Second, we extend our analysis to an erroneous radio environment, and prove that the maximum throughput of the $k$-hop path is determined by its bottleneck consecutive three-hop segment. That is, the maximum throughput of the $k$-hop path is the minimum of the maximum throughputs of all its consecutive three-hop segments. The findings in this paper lay guidelines for designing optimum scheduling algorithms.