JOURNAL ARTICLE

Energy-Efficient Proportional Resource Allocation in Uplink OFDMA Systems

Abstract

Energy efficiency is of high attention these days due to the development of green communications. Previous resource allocation algorithms in orthogonal frequency division multiple access (OFDMA) mainly focused on maximizing the energy efficiency (EE) of all the users and cannot ensure fairness in advance. To strike a balance between EE and user fairness, this paper proposes an energy-efficient proportional resource allocation algorithm. During subcarriers allocation, the priority of users is adaptively determined by both overall EE and the ratio of users' EE to proportionality. Then a low-complexity power allocation algorithm is extended to uplink OFDMA by searching the water level with constraints on maximum power and minimum rate requirements of each user. Simulation results show that the proposed schemes achieve a substantially proportional fair on EE among users as well as a relatively high over EE.

Keywords:
Telecommunications link Orthogonal frequency-division multiple access Computer science Resource allocation Orthogonal frequency-division multiplexing Max-min fairness Efficient energy use Resource management (computing) Frequency-division multiple access Mathematical optimization Computer network Real-time computing Engineering Mathematics Electrical engineering

Metrics

3
Cited By
0.33
FWCI (Field Weighted Citation Impact)
12
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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