JOURNAL ARTICLE

Energy-Efficient Resource Allocation in OFDMA Networks

Abstract

The widespread application of multimedia wireless services and requirement of ubiquitous access have triggered rapidly booming energy consumption at both the base station side. Hence, energy-efficient design in wireless networks is very important and is becoming an inevitable trend. In this paper, we study energy-efficient resource allocation in downlink cellular OFDMA networks. For the downlink transmission, the weighted energy efficiency (EE) is maximized under certain prescribed per-user quality- of-service (QoS) requirements. We first obtain the optimal solution then propose a suboptimal approach by exploring the inherent structure and property of the energy-efficient design to reduce complexity. Simulation results show that the energy-efficient design greatly improves EE compared with that of the conventional spectral-efficient design and our low- complexity suboptimal approaches can achieve promising tradeoff between performance and complexity.

Keywords:
Computer science Quality of service Telecommunications link Efficient energy use Base station Energy consumption Resource allocation Computer network Spectral efficiency Transmission (telecommunications) Wireless Resource management (computing) Wireless network Energy (signal processing) Distributed computing Telecommunications Channel (broadcasting) Engineering Mathematics

Metrics

20
Cited By
2.13
FWCI (Field Weighted Citation Impact)
12
Refs
0.89
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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