Power consumption analysis and modeling of mobile communication architecture

Andong Zhang, Shuowen Zhang, Pengcheng Zhu, Xiaohu You

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The reduction of the power consumption of mobile communication system is an important issue nowadays. Traditional base station structure is considered to consume too much energy and at the same time, distributed antenna system (DAS) has been recognized as an energy-efficient base station architecture. In this paper, we investigate power consumption model of both structures. We compare the power consumption of serving a random user at the cell edge when varying the cell radius and also investigate the power consumption of both systems when the number of antenna increased. Results show that (1) DAS costs less energy in every scenario and has a better cell-edge performance. (2) Improving the efficiency of power amplifier (PA) or reducing the average distance between the antenna and the user is the key factor of reducing the power consumption of DAS architecture.

Original languageEnglish
Title of host publicationInternational Conference on Computer Science and Information Technology, CSAIT 2013, Proceedings
EditorsSrikanta Patnaik, Xiaolong Li
PublisherSpringer Verlag
Pages231-238
Number of pages8
ISBN (Electronic)9788132217589
DOIs
Publication statusPublished - Sept 2013
Externally publishedYes
EventInternational Conference on Computer Science and Information Technology, CSAIT 2013 - Kunming, China
Duration: 21 Sept 201323 Sept 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume255
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Computer Science and Information Technology, CSAIT 2013
Country/TerritoryChina
CityKunming
Period21/09/1323/09/13

Keywords

  • Base station structure
  • Cell size
  • DAS
  • Power consumption

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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