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A game-theoretic approach for cooperative transmission strategy in wireless networks

机译:无线网络中协作传输策略的博弈论方法

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摘要

Cooperative transmission (CT) is a promising technique to improve transmission rate and throughput in wireless networks, and relay node (RN) which could provide a good two-hop channel plays a key role in CT mode. As a result, most of existing work take the advantage of benefit of RN in CT mode, but do not fully recognize its potential adverse effect. In this paper, we investigate the adverse impact called flow-level cooperation interference (FCI) incurred by RN in CT mode, therefore, CT mode may not be beneficial as expected. To this end, we describe our insight and analyze the reason of FCI in wireless networks. To understand and solve FCI, we formulate this problem with a game-theoretic approach, and thus two methods which are named Nash equilibrium cooperative transmission strategy (NECTS) and Bayesian Nash equilibrium cooperative transmission strategy (BNECTS) are proposed, respectively. Our numerical results validate our analytical approach and demonstrate the effectiveness of our proposed NECTS and BNECTS.
机译:协作传输(CT)是提高无线网络的传输速率和吞吐量的一项有前途的技术,而可以提供良好的两跳信道的中继节点(RN)在CT模式下起着关键作用。结果,大多数现有工作都利用了CT模式下RN的优势,但并未完全意识到其潜在的不利影响。在本文中,我们研究了在CT模式下RN引起的称为流级协作干扰(FCI)的不利影响,因此,CT模式可能没有预期的好处。为此,我们描述了我们的见解并分析了无线网络中FCI的原因。为了理解和解决FCI,我们用博弈论的方法来解决这个问题,因此,分别提出了两种方法,分别称为纳什均衡合作传输策略(NECTS)和贝叶斯纳什均衡合作传输策略(BNECTS)。我们的数值结果验证了我们的分析方法,并证明了我们提出的NECTS和BNECTS的有效性。

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