基于组合投资理论与主用户QoS保证的认知系统资源分配算法

摘要

受组合投资理论的启发,提出了一种既利用历史信道状态信息,同时又有效保证主用户不受次系统传输所产生干扰的新的资源分配算法.该算法以系统速率的方差作为优化目标,同时通过引入用户间干扰门限来衡量次系统对主用户造成的干扰,并利用二次规划的方法对该问题进行求解.最后,给出经典算法与本算法的性能比较,仿真结果表明该算法在保证次系统传输速率保持在一定的期望速率的条件下,使其方差最小,同时又使主用户所受的干扰限定在所能承受的范围内.%Inspired by portfolio selection theory, an efficient primary user QoS guaranteed resource allocation algorithm from secondary user interference by using historical channel state information was proposed. This algorithm formulates the risk as optimization objective, and restricts the interference which comes from secondary system to primary users below a mutual interference threshold. Then quadratic programming method is used to solve this optimization problem. Finally, performance comparison between the original algorithm without protection and the proposed algorithm was given. Simulation results illustrate that the proposed algorithm can minimize secondary system risk under an expected transmission rate and guarantee primary user's QoS.