Energy efficiency improvements in heterogeneous network through traffic load balancing and sleep mode mechanisms

Ayad Atiyah Abdulkafi, Tiong Sieh Kiong, David Chieng, Alvin Ting, Johnny Koh

Research output: Journal PublicationArticlepeer-review

25 Citations (Scopus)

Abstract

Heterogeneous network (HetNet) is one of the most promising approaches of IMT Advanced, which not only offers higher capacity and data rate, but also network Energy Efficiency (EE). HetNet is an advanced network that promotes complex cooperation between multiple tiers or sizes of base stations, i.e. macro, micro, pico, and femto base stations towards the above benefits. In this paper, a theoretical model for evaluating the EE of HetNet is proposed. Then, a sleep mode mechanism on picocells is proposed to reduce the total energy consumption which subsequently improves the EE. Simulation results show that EE can be increased by balancing the traffic load between different types of base stations. In fact, the improvement very much depends on the percentage of traffic that is offloaded to picocells. At low to medium traffic load conditions, significant improvements in EE can be observed through the proposed sleep mechanism. It is observed that by combining the sleep mode feature of picocells and load balancing between the different types of base stations in HetNet, further EE improvements up to 68 % for low traffic load and up to 33 % for medium traffic load can be achieved.

Original languageEnglish
Pages (from-to)2151-2164
Number of pages14
JournalWireless Personal Communications
Volume75
Issue number4
DOIs
Publication statusPublished - Apr 2014
Externally publishedYes

Keywords

  • Energy efficiency
  • Heterogeneous network
  • Sleep mode
  • Traffic load

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Energy efficiency improvements in heterogeneous network through traffic load balancing and sleep mode mechanisms'. Together they form a unique fingerprint.

Cite this