基于博弈论的不完全信息下无线校园网MIMO系统的研究
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摘要
现阶段,MIMO技术已经得到众多科研院校的广泛应用。通过多点对多点的信号传输,可使无线通信的有效性和可靠性大为提高。为了进一步提高效率,降低干扰成本,需要寻找最优功率分配方案。以现代化校园网MIMO系统为背景,运用博弈论方法,建立效用函数和代价函数,形成非合作博弈模型,得到功率分配策略的最优解。由于本模型以不完全信息为背景,所选案例更符合现实情景,因此为信息化校园网建设提供了研究方向。
Currently, MIMO technology are widely used in many research institutions. Through multipoint to multi-point signal transmission, the effectiveness and reliability of wireless communication can be greatly improved. In order to further improve efficiency and reduce interference costs, it is necessary to find an optimal power allocation scheme. Based on the modern campus network MIMO system, the game theory method will be used to establish the utility function and the cost function to obtain the optimal power allocation strategy. As the model is based on incomplete information and the selected cases are more in line with the real situation, so it provides a research direction for the construction of modern campus network.
Currently, MIMO technology are widely used in many research institutions. Through multipoint to multi-point signal transmission, the effectiveness and reliability of wireless communication can be greatly improved. In order to further improve efficiency and reduce interference costs, it is necessary to find an optimal power allocation scheme. Based on the modern campus network MIMO system, the game theory method will be used to establish the utility function and the cost function to obtain the optimal power allocation strategy. As the model is based on incomplete information and the selected cases are more in line with the real situation, so it provides a research direction for the construction of modern campus network.
引文
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[3]杨春刚.认知无线电中基于非合作博弈的功率分配方法[J].西安电子科技大学学报,2009,36(1):1-4.YANG Chun-gang.Power Allocation Method Based on Non-cooperative Game in Cognitive Radio[J].Journal of Xidian University,2009,36(1):1-4.
[4]Saraydar C U,Mandayam N B,Goodman D J.Pricing and Power Control in a Multicell Wireless Data Network[J].IEEE Journal on Selected Areas in Communications,2001,19(10):1883-1892.
[5]钟卫,徐友云,蔡跃明.多用户MIMO系统中的一种基于博弈论的功率控制[J].电子信息学报,2006,28(8):1368-1372.ZHONG Wei,XU You-yun,CAI Yue-ming.A Game Theory Based Power Control in Multiuser MIMO Systems[J].Journal of Electronic Information,2006,28(8):1368-1372.
[6]Louni A,Khalaj B H.Distributed Beam-forming and Power Control in Multi-relay Underlay Cognitive Radio Networks:A Game-theoretical Approach[C]//In Pro.of International ICST Conference on CROWNCOM.[s.l.]:IEEE,2011:71-75.