异构携能通信网络顽健资源分配算法

Robust resource allocation algorithm for heterogeneous wireless network with SWIPT

为了提高异构携能通信网络能效和顽健性,研究了能效最大的顽健联合发射功率和功率分流资源分配问题。基于最小最大概率机和 Dinkelbach 理论,将原 NP-hard 问题转换为凸优化形式,提出了分布式对偶资源分配算法,并分析了算法的计算复杂度和顽健灵敏度。仿真结果表明,所提算法在信道不确定性下能同时保障宏蜂窝用户和飞蜂窝用户的服务质量。

To improve energy efficiency and robustness of heterogeneous wireless networks with wireless information and power transfer, the robust joint transmit power and power splitting resource allocation problem was studied. Based on mini-max probability machine and Dinkelbach method, the original NP-hard problem was transformed into a solvable convex optimization form, meanwhile a distributed dual resource allocation algorithm was proposed. Additionally, both computational complexity and robust sensitivity were analyzed. Simulation results show that the proposed algorithm can guarantee the quality of service requirements of macro cellular users and femtocell users under channel uncertainties.