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Energy-efficiency based resource allocation for the orthogonal multi-user channel

  • Fabien Héliot
  • , Muhammad Ali Imran
  • , Rahim Tafazolli
  • University of Surrey

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

15 Scopus citations

Abstract

Energy efficiency (EE) is emerging as a key design criterion for both power limited, i.e. mobile devices, and power-unlimited, i.e. cellular networks, applications. Whereas, resource allocation is a well-known technique for improving the performance of communication systems. In this paper, we design a simple and optimal EE-based resource allocation method for the orthogonal multi-user channel by adapting the transmit power and rate to the channel condition such that the energy-per-bit consumption is minimized. We present our EE framework, i.e. EE metric and node power consumption model, and utilize it for formulating our EE-based optimization problem with or without constraint. In both cases, we derive explicit formulations of the optimal energy-per-bit consumption as well as optimal power and rate for each user. Our results indicate that EE-based allocation can substantially reduce the consumed power and increase the EE in comparison with spectral efficiency-based allocation.

Original languageEnglish
Title of host publication2012 IEEE Vehicular Technology Conference, VTC Fall 2012 - Proceedings
DOIs
StatePublished - 2012
Externally publishedYes
Event76th IEEE Vehicular Technology Conference, VTC Fall 2012 - Quebec City, QC, Canada
Duration: 3 Sep 20126 Sep 2012

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference76th IEEE Vehicular Technology Conference, VTC Fall 2012
Country/TerritoryCanada
CityQuebec City, QC
Period3/09/126/09/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy efficiency
  • Orthogonal multi-user channel
  • Realistic power model
  • Resource allocation
  • Single cell

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