Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings

Research Article

Aggregate Interference in Random CSMA/CA Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-40352-6_35,
        author={June Hwang and Jinho Choi and Riku J\aa{}ntti and Seong-Lyun Kim},
        title={Aggregate Interference in Random CSMA/CA Networks},
        proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings},
        proceedings_a={CROWNCOM},
        year={2016},
        month={6},
        keywords={Aggregate interference CSMA/CA DCF Poisson point proce NS-2},
        doi={10.1007/978-3-319-40352-6_35}
    }
    
  • June Hwang
    Jinho Choi
    Riku Jäntti
    Seong-Lyun Kim
    Year: 2016
    Aggregate Interference in Random CSMA/CA Networks
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-40352-6_35
June Hwang1,*, Jinho Choi2,*, Riku Jäntti3,*, Seong-Lyun Kim2,*
  • 1: Mobile Communications Business
  • 2: Yonsei University
  • 3: Aalto University
*Contact email: june77.hwang@samsung.com, jhchoi@ramo.yonsei.ac.kr, riku.jantti@aalto.fi, slkim@yonsei.ac.kr

Abstract

In this paper, we investigate the cumulative distribution function (CDF) of the aggregate interference in CSMA/CA networks measured at an arbitrary time and position. We assume that nodes are deployed in an infinite two-dimensional plane by the Poisson point process (PPP). To find the effective active node density we analyze the distributed coordinate function (DCF) dynamics in a common sensing area and obtain the steady-state power distribution. The results of a massive simulation using Network Simulator-2 (NS-2) show a high correlation with the derived CDF.