文章检索

  • 检索
  • 检索词:
  • 高级检索
您是今天第 1880位访问者
您是第 4908485 位访问者
云无线接入网络的下行链路能效的优化
Energy-efficient-based Design for Downlink Cloud Radio Access Networks
投稿时间:2019-04-04  修订日期:2019-06-26
中文关键词:联合用户分配  逐次凸二次规划  前向回传线路  能效  云接入网络
英文关键词:User Association  Successive Convex Quadratic Programming  Fronthaul Links  Cloud Radio Access Network
基金项目:
作者单位E-mail
吴波 国网江苏省电力有限公司淮安供电分公司 huang_chengbi@21cn.com 
骆建华 福建亿榕信息技术有限公司 福州  
范照健 福建亿榕信息技术有限公司 福州  
摘要点击次数: 107
全文下载次数: 0
中文摘要:
      在下行云接入网络(Cloud Radio Access Network, C-RAN)中,核心网络内基站处理单元(Base band unit, BBU)通过前向回传线路向远端无线电头端(Radio Remote Head, RRH)传输数据,然后RRHs通过无线接入链路转发数据。目前,C-RAN的下行链路的能效是C-RAN的研究热点。为此,对C-RAN下行链路能效进行研究,其目的在于最大下行链路的能效。通过对联合用户分配(User Association, UA)、RRH激活、数据率分配和信号预编码约束,建立能效最大化表述式,再利用基于逐次凸二次规划(successive convex quadratic programming framework)的迭代算法求解混合整数非线性问题。仿真结果表明,提出的联合优化设计提高了C-RAN的能效。
英文摘要:
      In downlink cloud radio access network (C-RAN), the data is transferred from a baseband unit in the core network to several remote radio heads via a set of edge routers over capacity-limited fronthaul links. The remote radio heads then send the received signals to their users via radio access links. Now, energy efficiency of C-RAN is topic issue. Therefore, This paper considers the general downlink of a C-RAN. The aim is to maximize the network energy ef?ciency by jointly optimizing user association (UA), RRH activation, data rate allocation and signal precoding. By employing the successive convex quadratic programming framework, an iterative algorithm is proposed to solve the challenging mixed-integer nonlinear problem formulation. Simulation results show that our joint optimization approach signi?cantly improves the energy ef?ciency.
引用本文:
DOI:
学科分类代码:
  查看/发表评论  下载PDF阅读器

分享按钮