认知无线电中具有双重代价因子的联合功率控制与速率分配博弈算法

Joint power control and rate allocation game algorithm with dual pricing factors in cognitive radio networks

针对主次用户共享带宽的认知无线电网络上行链路中次用户资源分配问题,本文提出了一种具有双重代价因子的联合功率控制与速率分配博弈算法.首先,在效用函数中分别为功率和速率设定代价因子,更加合理地控制自私用户过大的功率、速率以减小次用户彼此间的干扰;其次,从理论上证明了该博弈算法纳什均衡(Nash equilibrium)的存在性与唯一性;最后,给出了联合功率控制和速率分配的迭代更新算法以及流程图.仿真结果表明,相比已有的工作,本文提出的算法可以使次用户在较小的发射功率下获得较大的传输速率以及较高的收益,在保证主用户的服务质量下提高了次用户系统容量.

This paper addresses the problem of resource allocation for distributed joint secondary users （SUs） in the uplinks of cognitive radio networks （CRNs） where SUs share bandwidth with primary users （PUs）. A game algorithm that provides distributed joint power control and rate allocation with dual pricing factors is proposed. First, to reduce interferences among SUs, the pricing factors for power and rate are defined individually, to control each SU＇s selfish behavior more efficiently. Then, the existence and uniqueness of the Nash equilibrium （NE） in our utility function are proved theoretically. Lastly, the iterative algorithm for joint power control and rate allocation is provided, along with a flowchart. Simulation results show that, compared to previous approaches, the proposed algorithm can achieve higher utility and SU transmission rate gains under lower transmit power. Moreover, the system sum capacity will be improved while maintaining the quality of service （QoS） for PUs.