DocumentCode
692322
Title
Energy-efficient downlink resource allocation for mobile devices in wireless systems
Author
Ya-Ju Yu ; Ai-Chun Pang ; Pi-Cheng Hsiu ; Yuguang Fang
Author_Institution
Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan
fYear
2013
fDate
9-13 Dec. 2013
Firstpage
4692
Lastpage
4698
Abstract
Mobile users have become increasingly addicted to multimedia applications which are extremely downlink-intensive. We observed that conventional objectives, like rate adaptive and margin adaptive, adopted for radio resource allocation may lead to unnecessary energy consumption of mobile devices, which is adverse to the development of mobile multimedia applications. This paper presents an alternative objective, called energy adaptive, and formulates the energy-efficient downlink resource allocation problem. The objective is to minimize the total energy consumption of mobile devices for data reception while satisfying users´ data rate requirements and base station´s available transmit power. We prove that the target problem is NP-hard and propose an efficient heuristic algorithm to solve the problem. The results of simulations conducted to evaluate the efficacy of the proposed algorithm agree with our observation on the conventional objectives, as well as providing some useful insights into the design of energy-efficient downlink resource allocation for wireless systems.
Keywords
computational complexity; data communication; energy conservation; energy consumption; mobile communication; mobile handsets; multimedia communication; optimisation; radio reception; resource allocation; telecommunication links; telecommunication power management; NP-hard problem; base station transmit power; data reception; energy consumption; energy-efficient downlink resource allocation problem; heuristic algorithm; mobile devices; mobile multimedia applications; mobile users; radio resource allocation; user data rate requirements; wireless systems; Base stations; Downlink; Energy consumption; Mobile handsets; Partitioning algorithms; Resource management; Wireless communication; Downlink resource allocation; energy efficiency; mobile devices; wireless systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location
Atlanta, GA
Type
conf
DOI
10.1109/GLOCOMW.2013.6855692
Filename
6855692
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