OFDM认知无线电系统中分布式资源分配

摘要

针对多用户的OFDM认知无线电系统,提出了一种适合于混合业务的分布式资源分配新算法.该算法以最大化系统容量为目标,将资源分配问题建模为非凸优化问题,并通过拉格朗日对偶理论将原问题分解为若干个独立的子问题,通过对子问题的求解可以获得最优的子载波分配和功率分配.同时,根据认知用户业务分组中不同的业务类型授予其不同的权重因子,确保资源分配结果能够满足各认知用户的QoS.仿真结果表明,该算法不仅提高了系统容量,而且还保证了资源分配的公平性和用户的QoS,且算法复杂度不高.%In this paper, a new algorithm of distributed resource allocation in cognitive OFDM system is proposed, which is suitable to mixed service. In order to maximum the throughput of system, the allocation problem is modeled as a non-convex optimization problem which is solved by Lagrangian duality theory, in which the original problem is decomposed into several independent sub problems. Though solving the several sub problems, the optimal allocation results including sub carrier and power are obtained. In the meanwhile, according to the different type of service packets, the different cognitive users with the corresponding weight factor are provided. The simulation results demonstrate that the proposed algorithm not only improves the throughput of system but also satisfies the QoS of cognitive user, and have low complexity.