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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

ISSN: 1867-8211

Year: 2020

Volume: 312 LNICST

Page: 43-52

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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