非合作无线网络的全局最优信道分配

Fan Wu, S. Zhong, C. Qiao
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引用次数: 93

摘要

信道分配是无线网络中一个非常重要的问题。本文研究了非合作无线网络中设备自私自利的FDMA信道分配。关于这个问题的现有工作考虑了纳什均衡(NE),这不是一个非常强大的解决方案概念,可能无法保证良好的系统范围性能。相反,在这项工作中,我们引入了一个支付公式来确保强优势策略均衡(SDSE)的存在,这是一个更强大的解决方案概念。我们表明,当系统收敛到SDSE时,就有效的系统范围吞吐量而言,它也实现了全局最优性。此外,我们将我们的工作扩展到某些无线电具有有限可调谐性的情况。我们表明,在这种情况下,通常不可能有类似的SDSE解决方案;但是,通过对无线电数量和信道类型等的额外假设,我们可以再次实现SDSE解决方案,保证整个系统的全局最优有效系统吞吐量。除了这个扩展,我们还考虑了战略游戏的另一个扩展,即提供公平性的重复游戏。最后,我们在实验中评估了我们的设计。我们的评估验证了系统确实收敛于我们设计的支付公式的全局最优通道分配,并且有效的系统范围吞吐量明显高于无政府状态和纳什均衡(NE)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Globally Optimal Channel Assignment for Non-Cooperative Wireless Networks
Channel assignment is a very important topic in wireless networks. In this paper, we study FDMA channel assignment in a non-cooperative wireless network, where devices are selfish. Existing work on this problem has considered Nash equilibrium (NE), which is not a very strong solution concept and may not guarantee a good system-wide performance. In contrast, in this work we introduce a payment formula to ensure the existence of a strongly dominant strategy equilibrium (SDSE), a much stronger solution concept. We show that, when the system converges to a SDSE, it also achieves global optimality in terms of effective system-wide throughput. Furthermore, we extend our work to the case in which some radios have limited tunability. We show that, in this case, it is generally impossible to have a similar SDSE solution; but, with additional assumptions on the numbers of radios and the types of channels, etc., we can again achieve a SDSE solution that guarantees globally optimal effective system throughput in the entire system. Besides this extension, we also consider another extension of our strategic game, which is a repeated game that provides fairness. Finally, we evaluate our design in experiments. Our evaluations verify that the system does converge to the globally optimal channel assignment with our designed payment formula, and that the effective system- wide throughput is significantly higher than that of anarchy and Nash equilibrium (NE).
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