一种基于博弈论的无线体域网间干扰抑制功率控制算法
首发时间:2016-11-29
摘要:无线体域网是以人体为中心,具有信息采集、数据处理、无线通信等多种功能的移动自组织网络。由于人类的社交性、移动性等特征,邻近无线体域网的通信范围在空间上存在交叠,再加上频域资源有限,无线体域网的网间干扰问题非常严重,网络的可靠性面临严峻挑战。在各种干扰抑制策略中,由于采用基于博弈论的功率控制方法能有效契合无线体域网分布随机、缺乏协调等特点,得到了研究人员的广泛关注。本文首先建立动态网间干扰模型,然后分析了一种基于非合作博弈的传统功率控制算法,最后针对其在动态环境中难以收敛的不足,提出时间加权的功率控制(TWP)算法。仿真结果表明在动态环境下TWP算法相比传统的算法能够较快达到纳什均衡,并且当用户密度较大时TWP算法的性能提升更为明显,有效改善网络的可靠性。
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A power control algorithm for interference mitigation based on game theory in WBANs
Abstract:Wireless body area network(WBAN) is a body-centered communication network consisting of numerous network elements related to human beings. As a mobile self-organized network, it has information acquisition, data processing, wireless communication and other functions. Since human's sociability and mobility, there will be coexisting problem when users locate in an area. Coupled with the limited frequency resources, the inter-WBANs interference has become more challenging. As one kind of interference mitigation strategies, the power control method based on game theory can effectively fit the characteristics of WBANs such as random distribution and lack of coordination. It has got wide attention of the researchers. In this paper, we firstly establish dynamic interference model, then analyze a non-cooperative game power control algorithm, finally propose a time-weighted power control (TWP) algorithm. Simulation results show that compared with the traditional algorithm,TWP algorithm can meet the convergence faster, mitigate inter-WBANs interference more effectively and improve the reliability of network.
Keywords: Wireless body area network Game theory Power control Interference mitigation
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No.4710608116208714****
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