Joint Power Allocation and Cell Formation for Energy-Efficient VLC Networks

Mohanad Obeed, Anas M. Salhab, Salam A. Zummo, Mohamed Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this paper, we propose a joint cell formation and power allocation algorithms for energy efficiency (EE) maximization in visible light communication (VLC) networks. Unlike the previous works, we show that the cell formation and power allocation are interlinked problems and they should be solved jointly. We start by proposing a new algorithm for users clustering and then associating all the access points (APs) to the clustered users based on a proposed metric. Under the assumption that the vectored transmission is applied at each formed cell, we solve an optimization problem that aims to maximize the EE by allocating the powers for the users with quality of service (QoS) constraints. Then, we propose an algorithm that jointly allocates the power and decides which APs must participate in communication and which ones must be switched off. The numerical results demonstrate that the proposed algorithms significantly improve the EE compared to the traditional methods and algorithms.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538631805
DOIs
StatePublished - Jul 27 2018
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: May 20 2018May 24 2018

Publication series

NameIEEE International Conference on Communications
Volume2018-May
ISSN (Print)1550-3607

Conference

Conference2018 IEEE International Conference on Communications, ICC 2018
Country/TerritoryUnited States
CityKansas City
Period05/20/1805/24/18

Keywords

  • Clustering
  • Energy efficiency
  • Power allocation
  • Visible light communication

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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