JOURNAL ARTICLE

Flexible Resource Allocation for Joint Optimization of Energy and Spectral Efficiency in OFDMA Multi-Cell Networks

Wenpeng JingZhaoming LuXiangming WenZhiqun HuShaoshi Yang

Year: 2015 Journal:   IEEE Communications Letters Vol: 19 (3)Pages: 451-454   Publisher: IEEE Communications Society

Abstract

The radio resource allocation problem is studied, aiming to jointly optimize the energy efficiency (EE) and spectral efficiency (SE) of downlink OFDMA multi-cell networks. Different from existing works on either EE or SE optimization, a novel EE-SE tradeoff (EST) metric, which can capture both the EST relation and the individual cells’ preferences for EE or SE performance, is introduced as the utility function for each base station (BS). Then the joint EE-SE optimization problem is formulated, and an iterative subchannel allocation and power allocation algorithm is proposed. Numerical results show that the proposed algorithm can exploit the EST relation flexibly and optimize the EE and SE simultaneously to meet diverse EE and SE preferences of individual cells.<br/>

Keywords:
Computer science Telecommunications link Base station Resource allocation Mathematical optimization Spectral efficiency Resource management (computing) Metric (unit) Optimization problem Exploit Efficient energy use Orthogonal frequency-division multiple access Joint (building) Orthogonal frequency-division multiplexing Relation (database) Computer network Algorithm Mathematics Engineering

Metrics

24
Cited By
2.67
FWCI (Field Weighted Citation Impact)
11
Refs
0.93
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
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
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