基于OFDM的认知无线电鲁棒节能功率控制算法

摘要

为提高现有认知无线电的节能效率和鲁棒性，提出了一种基于正交频分复用（ OFDM：Orthogonal Frequency Division Multiplexing）的多用户认知无线电鲁棒节能功率控制算法。该算法基于有界不确定性模型，在考虑最坏误差情况下，利用凸优化理论证明系统的拟凸特性，并采用分式规划优化技术实现了节能效率的最大化。仿真结果表明，该算法在高噪声和信道状态信息不确定的情况下，可保障认知用户的通信服务质量需求（ QoS：Quality of Service），同时可以提高非授权用户的节能效率。%To improve energy-efficiency and robustness of CR( Cognitive Radio ),we investigate the robust energy-efficiency maximization algorithm in an OFDM( Orthogonal Frequency Division Multiplexing )-based CR networks with multiuser scenario in a given bounded uncertainty region. We use convex optimization method to obtain quasi-concave mathematic property and solve this problem via fractional programming technique. Simulation results show that this algorithm can strictly meet QoS( Quality of Service)requirement of primary users and promote energy-efficient performance of secondary users under noise plus interference uncertainty compared with non-robust scheme.