Capacity-and-energy efficient resource allocation for emergency communications

Cheng Guo, Liqiang Zhao, Guowei Fan, Kai Liang, Fumiyuki Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Recently, Green Radio, which aims to reduce energy consumption of information and communication technologies (ICTs), has been concerned by telecommunication operators and researchers and can be applied to emergency scenarios. However, the communication system in emergency situation is pursuing not only energy reduction, but the large number of serviced users. In this paper, in order to provide telecommunication services for a great number of clients with low energy consumption in emergency scenarios, a capacity-and-energy efficient radio resource allocation mechanism is proposed, which is modeled as a Sigmoid-based optimization problem. Our simulation results demonstrate that compared with the conventional resource allocation algorithms, the proposed one achieves the largest capacity-and-energy efficiency, i.e., the largest number of serviced users per power unit.

Original languageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980888
Publication statusPublished - 2015 Jul 1
Externally publishedYes
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 2015 May 112015 May 14

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other81st IEEE Vehicular Technology Conference, VTC Spring 2015
Country/TerritoryUnited Kingdom


  • Capacity-and-energy efficient
  • Emergency communication
  • Green radio
  • Radio resource allocation

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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