认知网络干扰效率最大稳健功率与子载波分配算法

Robust power and subcarrier allocation algorithm for cognitive network based on interference efficiency maximization

针对认知正交频分多址接入(OFDMA)上行通信系统,提出了一种基于干扰效率最大的稳健功率与子载波分配算法。首先,考虑主用户干扰约束、次用户发射功率约束、子载波分配约束和次用户最小速率约束,建立基于中断概率的稳健资源优化模型。然后,利用伯恩斯坦近似和Dinkelbach法,将原基于中断概率的非凸问题转换成等价凸优化问题,并利用拉格朗日对偶函数法求得解析解。同时,分析了算法的计算复杂度和稳健灵敏度。仿真结果表明,所提算法具有较好的干扰效率和稳健性。

For the cognitive OFDMA uplink communication system,a robust power and subcarrier allocation algorithm based on maximum interference efficiency was proposed.Firstly,considering primary user interference constraint,secondary user transmit power constraint,subcarrier allocation constraint and secondary user minimum rate constraint,a robust resource optimization model based on outage probability was established.Then,by using Bernstein approximation and Dinkelbach’s method,the original non-convex problem based on outage probability was transformed into an equivalent convex optimization one,and the analytical solution was obtained by Lagrangian dual function method.Meanwhile,the computational complexity and robust sensitivity of the algorithm were analyzed.The simulation results show that the proposed algorithm has better interference efficiency and robustness.