博弈理论在认知小蜂窝网络无线资源配置优化中的应用

Application of Game Theory in Radio Resource Allocation for Cognitive Small-Cell Networks

由于集中式优化方案大多依赖于实时全网信息交互,通常难以适用于网络环境动态快变和缺乏相互协作的超密集认知小蜂窝网络场景.博弈论为分析分布式条件下多决策主体间的复杂决策行为提供了理论框架,已经被广泛应用于无线通信领域.论文聚焦认知小蜂窝网络中的无线资源分配问题,围绕网络多层次、高动态和强异构3个显著特征,从博弈论的视角分别给出认知小蜂窝网络中的干扰管理、接入控制和频谱接入与共享3个研究领域中的应用,对现有理论研究中所采用的博弈模型进行梳理归纳,并对模型的相关特性如博弈类型、优化目标、均衡特性等进行分析总结;最后,从当前无线通信中的研究趋势出发,给出了未来研究方向.

The centralized optimization, which needs the global network information exchange, is not applicable for the hyper-dense cognitive small-cell networks scenario due to time-varying network environment and lack of coordi- nation. Known as a powerful tool to analyze and predict the outcomes of interactive decision-makers in distribution manner, game theory has been widely utilized in the wireless communications. Supported by game theory, this study focused on the radio resource allocation according to the hierarchical, dynamic andheterogeneous network characteris- tics incognitive small-cell networks, and presented the related applications in the interference management, access control, and spectrum access and sharing. The adopted game models and properties, including game type, optimiza- tion problem and equilibriumsolutionin existing works wereexplored. Based on the current research trends in wireless communication, the future research directions are suggested.