摘要
针对5G C-RAN(Centralized,Cooperative,Cloud and Clean RAN)网络视频业务的QEE(Qo E-aware Energy Efficiency)优化问题,利用非线性分式规划(Nonlinear Fractional Programming,NFP)算法求解这一混合整数分式优化问题。NFP算法基于载波与发射功率联合调度方式来优化系统的QEE性能。NFP算法基于迭代运算原则,在每次迭代中找到最优的载波与发射功率分配方式,直到满足一定的收敛条件后结束迭代过程。对QEE优化目标进行仿真,仿真结果表明,一定用户数目和收敛条件下,NFP算法经过有限迭代后收敛。
The QEE (QoE-aware Energy Efficiency) performance optimization in 5G C-RAN (Centralized,Cooperative,Cloud andClean RAN ) networks is a mixed integer fractional optimization problem. In order to solve the problem, a nonlinear fractional programming (NFP) algorithm based on carrier and transmit power joint scheduling is proposed. The NFP algorithm searches for the optimal carrier and transmit power allocation scheme in each iteration and the iteration process ends when certain convergence conditions are met. The simulation results show that the NFP algorithm converges after finite iterations under a certain number of users and convergence conditions.
作者
肖培剑
王波
黄冬艳
XIAO Peijian;WANG Bo;HUANG Dongyan(Key Laboratory of Cognitive Radio & Information Processing,Guilin University ofElectronic Technology,Guilin 541004,China)
出处
《无线电工程》
2018年第10期842-847,共6页
Radio Engineering
基金
国家自然科学基金资助项目(61371107)
广西无线宽带通信与信号处理重点实验室基金基金资助项目(GXKL061501)
认知无线电与信息处理教育部重点实验室2016年主任基金资助项目(LD16112X)