摘要
基于干扰温度模型,应将认知无线电网络中认知用户与主用户共享频谱时应满足各自的用户服务质量(QoS)问题转化为有约束的非线性功率控制优化问题。运用迭代算法和拉格朗日相关理论探讨出一种近似最优的功率分配算法。理论分析和仿真表明,该算法既能满足主用户的干扰温度容限,同时又能使认知用户获得很好的信噪干扰比,增大系统的吞吐量。
Based on the interference temperature model, the problem that the cognitive radio users and owners should meet their own quality of customer servicewhen sharing spectrum is changed into a non - linear power control optimization problem. A global optimum power allocation algorithm is explored based on the iterative algorithms and Lagrangian theory. Theoretical analysis and simulation indicate that the algorithm both can satisfy the primary user of the interference temperature tolerance, and make users access to a good cognitive noise interference ratio,increasing the system throughput.
出处
《现代电子技术》
2010年第1期50-54,共5页
Modern Electronics Technique
