基于不完全频谱感知的认知中继网络能量效率研究

针对认知中继网络中基于能量效率的资源分配问题,提出一种基于次用户能量效率最大化的功率分配优化算法,通过建立多重约束条件下的频谱感知和传输联合优化模型,在考虑单位发射速率消耗功率和干扰限制的情况下,利用分数规划将问题中的混合整数非线性规划问题转化为等价的凸优化问题,分析了不同参数对能量效率的影响。仿真结果表明,提出的功率分配优化算法在达到能量效率最优的同时降低了算法复杂度低。

Research on Energy-Efficient for Cognitive Relay Networks with Imperfect Spectrum Sensing

Aiming at the problem of resource allocation on energy-efficient in cognitive relay networks, a power allocation optimization algorithm based on the maximization of sub-user energy efficiency is proposed. A joint optimization model for spectrum sensing and transmission is established under multiple constraints. In the case of rate power consumption and interference limitation, the mixed integer nonlinear programming problem in NP problem is transformed into equivalent convex optimization problem by using fractional programming. The influence of different parameters on energy efficiency are analyzed. The simulation results show that the proposed power allocation optimization algorithm reduces the complexity of the algorithm while achieving the best energy efficiency.