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Robust Nash Dynamic Game Strategy for User Cooperation Energy Efficiency in Wireless Cellular Networks

机译:无线蜂窝网络中用于用户合作能效的鲁棒Nash动态博弈策略

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摘要

Recently, there is an emerging trend of addressing "energy efficiency" aspect of wireless communications. It has been shown that cooperating users relay each other's information to improve data rates. The energy is limited in the wireless cellular network, but the mobile users refuse to relay. This paper presents an approach that encourages user cooperation in order to improve the energy efficiency. The game theory is an efficient method to solve such conflicts. We present a cellular framework in which two mobile users, who desire to communicate with a common base station, may cooperate via decode-and-forward relaying. In the case of imperfect information assumption, cooperative Nash dynamic game is used between the two users' cooperation to tackle the decision making problems: whether to cooperate and how to cooperate in wireless networks. The scheme based on "cooperative game theory" can achieve general pareto-optimal performance for cooperative games, and thus, maximize the entire system payoff while maintaining fairness.
机译:近来,存在解决无线通信的“能量效率”方面的新兴趋势。已经表明,合作用户可以互相中继信息,以提高数据速率。能量在无线蜂窝网络中受到限制,但移动用户拒绝中继。本文提出了一种鼓励用户合作以提高能源效率的方法。博弈论是解决此类冲突的有效方法。我们提出了一个蜂窝框架,其中希望与一个公共基站通信的两个移动用户可以通过解码转发中继进行协作。在信息假设不完善的情况下,在两个用户的合作之间使用合作Nash动态博弈来解决决策问题:无线网络中是否合作以及如何合作。基于“合作博弈论”的方案可以实现合作博弈的一般最优性能,从而在保持公平性的同时最大化整个系统的收益。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第10期|636159.1-636159.10|共10页
  • 作者单位

    Key Laboratory of Industrial Computer Control Engineering of Hebei, Qinhuangdao, Hebei 066004, China;

    Key Laboratory of Industrial Computer Control Engineering of Hebei, Qinhuangdao, Hebei 066004, China;

    School of Engineering Science, Simon Fraser University, 250-13450 102 Avenue, Surrey, BC, Canada V3T 0A3;

    Key Laboratory of Industrial Computer Control Engineering of Hebei, Qinhuangdao, Hebei 066004, China;

    College of Information Science and Engineering, Yanshan University, Hebei, Qinhuangdao, China,The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Yanshan University, Hebei, Qinhuangdao 066004, China;

    College of Computer Science and Technology, Zhejiang University ofTechnology, Hangzhou 310023, China;

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