Optimal remote radio head selection for cloud radio access networks

被引：0
|
作者：
Chunguo LI [1 ]
Kang SONG [1 ,2 ]
Dongming WANG [1 ]
Fu-Chun ZHENG [1 ]
Luxi YANG [1 ]
机构：
[1] National Mobile Communications Research Laboratory, Southeast University
[2] School of Electronic and Information Engineering, Qingdao University
来源：
ScienceChina(InformationSciences) | 2016年 / 59卷 / 10期
基金：
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词：
cloud radio access network(C-RAN); baseband unit(BBU); front-haul; remote radio head(RRH);
D O I：
暂无
中图分类号：
TN92 [无线通信];
学科分类号：
080402 ; 080904 ; 0810 ; 081001 ;
摘要：
The cloud radio access network(C-RAN) promises significant gain to the data rate over the LTEadvanced by transferring the burdensome baseband signal processing from the remote radio heads(RRHs) to the baseband unit via the front-haul. However, scalable improvement of the overall throughput may not be maintained due to limited front-haul capacity. In this paper, we study the throughput maximization problem by selecting the active RRHs. In particular, we develop an optimum algorithm which selects a subset of active RRHs that maximize the system throughput under the front-haul constraint. In addition, the asymptotically optimum number of RRHs is derived in closed-form for low and high signal-to-noise ratio(SNR) regimes. It is demonstrated that the proposed RRH selection scheme outperforms any other existing schemes with substantial gain of achievable throughput for any given number of RRHs and any predetermined front-haul capacity constraints.
引用
收藏
页码：210 / 221
页数：12
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