6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Network Scale Control for Distributed Networks by BER Analysis

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2011.245856,
        author={Junyan  Chen and Jing  Liu and Yunfeng  Guan and Wenlin  Wang},
        title={Network Scale Control for Distributed Networks by BER Analysis},
        proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={5},
        keywords={},
        doi={10.4108/icst.crowncom.2011.245856}
    }
    
  • Junyan Chen
    Jing Liu
    Yunfeng Guan
    Wenlin Wang
    Year: 2012
    Network Scale Control for Distributed Networks by BER Analysis
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2011.245856
Junyan Chen1,*, Jing Liu1,*, Yunfeng Guan1,*, Wenlin Wang1,*
  • 1: Department of Electric Engineering, Shanghai JiaoTong University, Shanghai, 200240, China
*Contact email: ericjunyan@yahoo.com.cn, jingliu_lj@sjtu.edu.cn, yfguan69@sjtu.edu.cn, wlwang009@sjtu.edu.cn

Abstract

Node-to-node interference in the distributed networks comes to be one of the major challenges in recent wireless communication studies.The general methods make great improvement on such problem but influence the performances in other layer. It is because the models they based on, like SINR, barely consider the parameters across the layers. This paper adopts the network scale control to solve those problems. It not only can be developed to improve the interference challenge, such as subnet devision, but also can be combined with other algorithm or make references to engineering. In this paper, we discuss the network scale control according to a new interference model which yield the BER(Bit Error Rate) as result.The model considers the channel and topology of the network, and combine with the traffic and MAC policy across the layers. We take a typical distributed network for example and get the BER performance. We discuss the result of network scale control and compare the result with other methods.