• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Zhang, Yuan (Zhang, Yuan.) | Li, Yang (Li, Yang.) | Chen, Liang (Chen, Liang.) | Wang, Ning (Wang, Ning.) | Fan, Bo (Fan, Bo.)

收录:

EI Scopus

摘要:

Incorporating visible light communication (VLC) with existing radio frequency (RF) access techniques has received widespread concern to enhance network coverage/capacity. This paper focuses on the joint downlink resource allocation (RA) in a hybrid VLC-RF network. The problem is formulated as utility maximization by jointly adjusting downlink sub-channel allocation. A Evolution Computation (EC) based centralized algorithm is developed to solve the problem. To reduce computation complexity, the algorithm is decoupled into two sub-steps. First, users are assigned to different VLC access points and the allocation is initialized in a proportional fair (PF) like method. Second, EC search procedures are iteratively operated until optimality. Through simulation, the algorithm outperforms classic PF and Round Robin RA methods in terms of throughput and user fairness. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词:

Computational complexity Resource allocation Visible light communication Heterogeneous networks Iterative methods Light

作者机构:

  • [ 1 ] [Zhang, Yuan]State Grid Information and Telecommunication Branch, Beijing; 100761, China
  • [ 2 ] [Li, Yang]State Grid Information and Telecommunication Branch, Beijing; 100761, China
  • [ 3 ] [Chen, Liang]State Grid Information and Telecommunication Branch, Beijing; 100761, China
  • [ 4 ] [Wang, Ning]State Grid Information and Telecommunication Branch, Beijing; 100761, China
  • [ 5 ] [Fan, Bo]Beijing University of Technology College of Metropolitan Transportation, Beijing; 100124, China

通讯作者信息:

  • [fan, bo]beijing university of technology college of metropolitan transportation, beijing; 100124, china

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

ISSN: 1867-8211

年份: 2020

卷: 312 LNICST

页码: 43-52

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 8

在线人数/总访问数:648/3898170
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司