Performance of green LTE networks powered by the smart grid with time varying user density

Hakim Ghazzai, Elias Yaacoub, Mohamed Slim Alouini, Adnan Abu-Dayya

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

7 Citations (Scopus)

Abstract

In this study, we implement a green heuristic algorithm involving the base station sleeping strategy that aims to ensure energy saving for the radio access network of the 4GLTE (Fourth Generation Long Term Evolution) mobile networks. We propose an energy procurement model that takes into consideration the existence of multiple energy providers in the smart grid power system (e.g. fossil fuel and renewable energy sources, etc.) in addition to deployed photovoltaic panels in base station sites. Moreover, the analysis is based on the dynamic time variation of daily traffic and aims to maintain the network quality of service. Our simulation results show an important contribution in the reduction of CO2 emissions that can be reached by optimal power allocation over the active base stations.

Original languageEnglish
Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
DOIs
Publication statusPublished - 5 Sept 2013
Externally publishedYes
Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
Duration: 2 Sept 20135 Sept 2013

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period2/09/135/09/13

Keywords

  • Energy saving
  • Green communication
  • Procurement model
  • Sleeping strategy
  • Smart grid

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