基于动态古诺博弈的认知无线电频谱贸易算法

摘要

To solve the spectrum allocation issue in cognitive radio network, a novel spectrum lease trading algorithm based on dynamic Cournot game is proposed. Considering the change of the spectrum market capacity and the spectrum value for secondary users, this algorithm models the spectrum lease trading as a dynamic Cournot game. Depending on the demand and supply for spectrum trading, users adjust the leasing price and profit to maximize the utility and complete the spectrum allocation. The method is analyzed and the performance is compared with the static Cournot game algorithm. Simulation results illustrate that the proposed algorithm has the higher spectral efficiency.%为解决认知无线电频谱分配问题，提出了一种新的基于动态古诺博弈的频谱租借贸易算法。该算法考虑认知无线网络中频谱租借市场容量及次用户频谱价值两者均动态变化的特点，将用户之间的频谱租借贸易建模成动态古诺博弈，同时根据用户之间的频谱供需关系动态调整用户贸易的频谱价格及收益，促使每阶段用户效用最大化并达到频谱分配的目的。分析了频谱供需关系变化对贸易的影响，并通过仿真证明了该算法相比于静态古诺博弈模型能达到更高的频谱利用率。