【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(Qo S:Quality of Service),同时可以提高非授权用户的节能效率。更多还原

【Abstract】 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 Qo S( 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.更多还原