太赫兹科学与电子信息学报, 2017, 15 (2): 223, 网络出版: 2017-06-06
基于能效和异构服务的密集家庭小区资源分配
Energy-efficiency and heterogeneous services based resource allocation in dense femtocells
摘要
密集家庭小区网络提高了网络容量,同时也严重增大了网络的能耗。为了提高家庭基站网络的能效,针对密集家庭小区场景,联合考虑家庭用户的异构服务、电路功率、网络的跨层干扰,提出了最大化家庭用户总能效的资源分配算法,利用 Dinkelbach理论和拉格朗日对偶分解理论,求解了该优化问题的闭式解,并分析了算法复杂度。仿真结果表明,所提的资源分配算法具有更高的网络能效,比已有资源分配算法的能效提高了约 20%。
Abstract
Dense femtocells can boost the network capacity, and also significantly increase the energy consumption of the network. In order to improve the energy-efficiency of dense femtocells, resource allocation algorithm of maximizing the total energy efficiency of the dense femtocells network is proposed considering heterogeneous services, circuit power, and cross-tier interference, which uses the theory of Dinkelbach and Lagrangian dual decomposition method to solve the optimization problem, and the algorithm complexity is also analyzed. Simulation results show that, the proposed resource allocation algorithm has higher energy-efficiency than the existing resource allocation algorithm with energy-efficiency improved by about 20%.
唐春菊. 基于能效和异构服务的密集家庭小区资源分配[J]. 太赫兹科学与电子信息学报, 2017, 15(2): 223. TANG Chunju. Energy-efficiency and heterogeneous services based resource allocation in dense femtocells[J]. Journal of terahertz science and electronic information technology, 2017, 15(2): 223.