OFDMA认知无线电网络中面向需求的频谱共享

从满足次网络通信需求的角度，设计一个两阶段模型，求解OFDMA 认知无线电网络中频谱租赁与分配问题。模型第1阶段，次基站收集次网络通信需求，向多个主基站租用频谱资源。运用Bertrand博弈对主、次基站的交易行为进行建模，并将纳什均衡作为最终定价方案。第2阶段，基于纳什议价方案，将次基站子载波和功率分配问题定义成非线性规划问题，并通过拉格朗日乘数法进行求解。仿真实验表明，相对于其他频谱共享方案，所提方案高效地满足每个次用户的通信需求。

Requirements-oriented spectrum sharing for OFDMA cognitive radio networks

Considering the satisfaction of the secondary network communication requirements,a two-stage model was proposed to address the spectrum leasing and allocation problem in OFDMA cognitive radio networks(CRN).At the first stage of the model,the secondary base station(SBS)collected channel capacity requirements of the secondary network,and rent the spectrum resource from multiple primary base stations(PBS).The trade behaviors between the PBS and the SBS were modeled with a Bertrand game,and adopted the Nash equilibrium as the pricing scheme.At the second stage,with the Nash bargaining solution(NBS),the subcarriers and power allocation problem were defined as a nonlinear programming problem,and obtained the solution by Lagrange multiplier method.Comparing with the other spectrum allocation schemes,simulation results show the proposed spectrum sharing scheme can satisfy each secondary user’s communication requirements more fairly and efficiently.