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首页> 外文期刊>International journal of communication systems >Asymmetric active cooperation strategy in spectrum sharing game with imperfect information
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Asymmetric active cooperation strategy in spectrum sharing game with imperfect information

机译:信息不完全的频谱共享游戏中的非对称主动合作策略

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In this paper, we study the spectrum sharing problem in the cognitive network where two secondary users coexist and interfere with each other in an unlicensed channel. Each user in our scenario is independent and is unaware of the characteristic of its rival but its statistics (imperfect information). An important issue is the interaction among selfish independent wireless communication systems (secondary users) who aim to maximize their own current utility. We provide a self-enforcing spectrum sharing framework, which has the advantage of not requiring a control center or communicating between two users. The short-term profits of users gained before cooperation being builded are asymmetrical. The long-term profit is used as the user's utility. Users improve their long-term profits by creating mutual cooperation actively. The historical action of the user is used by its rival to evaluate/update the current action. The action updating algorithm is provided. Moreover, we investigate the stability of the cooperation. As demonstrated, the proposed scheme can build mutual cooperation through extensive simulations. The existence of equilibrium is confirmed by the repeated game. And our scheme can achieve a good trade-off between short-term profits and long-term profits. Copyright (c) 2013 John Wiley & Sons, Ltd.
机译:在本文中,我们研究了认知网络中的频谱共享问题,其中两个次要用户在一个未许可的信道中共存并相互干扰。在我们的场景中,每个用户都是独立的,并且不了解其竞争对手的特征,但不知道其统计信息(不完善的信息)。一个重要的问题是自私的独立无线通信系统(二级用户)之间的交互,这些系统旨在最大化其自身的实用性。我们提供了一个自我执行的频谱共享框架,其优点是不需要控制中心或两个用户之间进行通信。建立合作之前,用户获得的短期利润是不对称的。长期利润用作用户的效用。用户通过积极开展相互合作来提高其长期利润。用户的历史动作被其竞争对手用来评估/更新当前动作。提供了动作更新算法。此外,我们研究了合作的稳定性。如图所示,提出的方案可以通过广泛的仿真来建立相互合作。反复博弈证实了均衡的存在。并且我们的方案可以在短期利润和长期利润之间取得良好的折衷。版权所有(c)2013 John Wiley&Sons,Ltd.

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