摘要
针对现有异构云无线接入网络的研究主要集中在单个蜂窝网络场景,仅考虑了蜂窝网络内部干扰,忽略了蜂窝网络间干扰的问题,研究了多个蜂窝网络共存场景下的H-CRAN,通过最大化系统总传输速率,对宏基站和无线远端射频单元的波束成形向量进行联合优化。基于交替优化算法和拉格朗日对偶方法,提出了一种MBS和RRH波束成形向量联合优化算法。首先将原优化问题分解为2个子优化问题,然后通过迭代的求解这2个子优化问题得到原优化问题的最终解。另外,根据拉格朗日对偶方法推导出了MBS和RRH波束成形向量的闭式表达式。在仿真实验中,将所提算法与其他波束成形算法进行了比较,实验结果证明,所提算法能够较好地改善系统传输速率。
To overcome the problem that previous researches for heterogeneous cloud radio access network(H-CRAN)mainly focus on single macro cell,and only considered the intracell interference in the one macro cell,while the inter cell interferences among different macro cells are neglected,H-CRAN with multiple macro-cells was studied,and the objective was to maximize system sum-rate through jointly optimizing the beamforming vectors of macro base stations(MBS)and remote radio heads(RRH).Based on alternating optimization and Lagrangian dual method,a joint MBS and RRH beamforming algorithm was proposed.The original problem was first divided into two subproblems.Then,the two sub-problem were solved alternately to obtain the final solutions of the original problem.In addition,the closed expression solutions of the two sub-problem were derived based on Lagrangian dual method.The proposed algorithm was compared with some beamforming algorithms in the simulation.The experimental results demonstrate the proposed algorithm has a better performance in improving the sum-rate of H-CRAN.
作者
左加阔
杨龙祥
鲍楠
ZUO Jiakuo;YANG Longxiang;BAO Nan(College of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;College of Telecommunications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《通信学报》
EI
CSCD
北大核心
2019年第8期45-53,共9页
Journal on Communications
基金
国家自然科学基金资助项目(No.61801237,No.61701255)
江苏省博士后基金资助项目(No.SBH17024)
江苏省高校自然科学基金资助项目(No.15KJB510026)
江苏省自然科学基金资助项目(No.BK20150866)
南京邮电大学引进人才基金资助项目(No.NY215046,No.NY217056)
关键词
异构云无线接入网络
波束成形
交替优化
多天线技术
heterogeneous cloud radio access network
beamforming
alternating optimization
multi-antenna technology
