一种多小区多用户能效波束赋形分层优化算法  

Energy Efficient Beamforming Layered Optimization Algorithm for Multiuser in Multicell Systems

作　　者：张敏[1,2] 何世文[2] 陆莹[2] 李元稳 黄永明[2] 杨绿溪[2] 

机构地区：[1]湖南邮电职业技术学院移动通信系,长沙410015 [2]东南大学信息科学与工程学院,南京210096

出　　处：《数据采集与处理》2017年第1期86-94,共9页Journal of Data Acquisition and Processing

基　　金：国家科技重大专项(2013ZX03003006-02)资助项目;国家自然科学基金(61471120;61271018;61372101)资助项目;江苏省自然科学基金(BK20130019;BK2011597)资助项目;江苏省工业支撑项目(BE2012167)资助项目;教育部新世纪优秀人才资助计划(NCET-11-0088)资助项目;中兴通讯股份有限公司产学研项目(CON1211090001)资助项目

摘　　要：研究在用户服务质量需求和功率约束等条件下最大化系统能效的多小区多用户系统中的波束赋形技术。首先引入辅助变量将分式形式的非凸优化目标函数转化为凹凸分数形式的优化目标函数,并利用分式规划和低复杂度凸逼近法进行功率分配优化;然后将波束优化问题转化成满足一定约束条件的最小化发射功率优化问题,并利用二阶锥规划求解相应的波束赋形优化问题。仿真结果表明:所提的能效分层优化算法可以经过有限迭代次数逐渐收敛到稳定值;在低发射功率区域,所提算法能够同时获得最大频谱效率和能源效率;而在高发射功率区域,本文算法所获得的能效性能明显优于传统的频谱效率最大化算法。Energy-efficient beamforming design for multiuser is investigated in multicell systems to maximize the system energy efficiency subjected to some given quality of service demands and transmit power constraint.The non-convex optimization objective function in fractional form is firstly transformed into an optimization objective function in concave-convex fractional form,and the power allocation is realized by introducing some auxiliary variables and using jointly the fractional programming and the lower complexity convex approximation method.Then the beamforming optimization problem is transformed into a problem of minimizing the transmit power which can be solved with the second-order conic programming method.Numerical results illustrate that the proposed algorithm converges to a stable point within a limited number of iterations.It is also observed that the best spectral efficiency and energy efficiency can be simultaneously achieved by the proposed algorithm at low transmit power region.However,in high transmit power region the proposed algorithm outperforms obviously the traditional spectral efficiency maximization algorithm in terms of energy efficiency.

关 键 词：能效传输 波束赋形 分式规划 凸逼近 二阶锥规划 

分 类 号：TN92[电子电信—通信与信息系统]