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如何合理分配有限的频谱资源是认知无线电网络的核心问题之一.通过对物理层功率控制和MAC层带宽分配需求的研究,建立以最大化系统吞吐量为目标的跨层优化模型.并在该模型的基础上设计一种基于跨层议价博弈的带宽与功率分配算法(Bandwidth and Power Allocation Algorithm-Cross Layer Bargaining Game,BPAA-CLBG).仿真结果表明该算法可以有效地提高认知无线电网络的频谱利用率,且在系统吞吐量方面较现有算法有明显的改善.
How to allocate limited spectrum resources reasonably is one of the core problems of cognitive radio network.By researching the requirements of physical layer power control and MAC layer bandwidth allocation, a cross-layer optimization model aiming at maximizing system throughput is established. Based on this model, a Bandwidth and Power Allocation Algorithm-Cross Layer Bargaining Game (BPAA-CLBG) is designed. The simulation results show that the proposed algorithm can effectively improve the cognitive radio network Spectrum utilization, and the system throughput has significantly improved than the existing algorithm.