认知无线网中基于队列博弈的频谱选择算法

针对认知无线网络中分布式分组数据自适应传输问题,提出了一种新的基于队列博弈的频谱选择算法.该算法将数据传输问题建模成频谱选择的潜在博弈,考虑主用户占用频谱的影响,利用排队理论分析并构建用户效用函数,通过自主调整频谱选择策略实现频谱分配及跨层优化传输时延、分组损失率.仿真对比表明,所提出的算法存在纳什均衡,更有效地降低了分组传输时延及数据损失率,更加快速地收敛到策略均衡点,且具有更小的复杂度.

Spectrum Selection Algorithm of Cognitive Radio Networks Based on Queueing Game

To solve the distributive adaptive packet data transmission issue in cognitive radio network, a novel spectrum selection algorithm based on queueing game was proposed. This algorithm modeled the spectrum selection problem as a potential game by queuing theory, each second user autonomously adjust their spectrum choose strategy to optimize transmission delay and packet loss rate. The existence of Nash equilibrium was analysed and proofed. Finally, the simulation results were given to validate the algorithm reduced average end-to-end delay of channel queueing and average packet loss rate of heavy-load channel, let the strategy converge more quickly to equilibrium point , and had much lower complexity.