下垫式认知无线电网络的鲁棒功率分配算法

针对认知无线电网络功率分配的参数扰动性问题,提出一种基于保护因子的认知无线电鲁棒功率分配算法.该算法根据实际系统信道参数的扰动性,对授权用户干扰功率阈值引入保护机制进行鲁棒规划,运用Lagrange对偶算法和凸优化相关理论得到最优功率分配,解决了下垫式(Underlay)模式下认知无线电网络信道参数扰动性问题.仿真结果表明,该算法具有较好的鲁棒性,降低了算法复杂度,并提高了认知无线电网络的系统容量.

Robust Power Allocation Algorithm in\=Underlay Cognitive Radio Networks

In order to solve the problem of parameter perturbationof power allocation in cognitive radio networks, we proposed a robust power allocation algorithm based on protection factor for cognitive radio. According to the disturbance of the channel parameters in the actual system, the algorithm introduced the protection mechanism of the authorized user’s interference power threshold into robust programming, and then used the Lagrange dual algorithm and convex optimization theory to obtain the optimal power allocation. The algorithm could solve the problem of channel parameter perturbation in the underlay cognitive radio networks. The simulation results show that the proposed algorithm has good robustness, reduces the complexity of the algorithm and improves the systemcapacity of cognitive radio networks.