摘要
在正交频分复用认知无线电网络中,研究多个功率约束条件下的功率分配问题。认知用户功率约束条件分为两类:对主用户频段的干扰约束与认知用户总传输功率约束。以最大化认知用户速率为目标,构建一个多约束条件优化问题,得出最优功率分配算法,在此基础上,通过对约束条件加以分解,提出一种低复杂度的次优功率分配算法。仿真结果表明,最优算法可以取得最大的认知用户传输速率;提出的次优算法可以极小的性能损失,在复杂度上取得较大优势。
In orthogonal frequency division multiplexing（OFDM）based cognitive radio networks,power allocation problem with multi-constraint of transmit power was investigated.In general,power constraints can be divided into two categories：constraints of cross channel interference to primary user bands and constraints of the total transmit power of cognitive radio user.A multiconstraint optimization problem was formulated through maximization of transmission rate of cognitive radio user.Optimal power allocation algorithm was then derived.Based on decomposition of multiple constraints,a low-complexity suboptimal power allocation was proposed.Numerical results and analysis show that the maximum rate can be achieved by the optimal power allocation and the proposed suboptimal solution can achieve lower complexity at the low expense of performance.
出处
《计算机工程与设计》
北大核心
2016年第4期872-876,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61071079
61300169)
四川省教育厅基金项目(14ZB0038)
