JOURNAL ARTICLE

Energy efficient resource allocation in orthogonal frequency division multiple access‐based distributed antenna systems

Jilei YanYue WangGuorui YangYantao GuoWei Wu

Year: 2016 Journal:   IET Communications Vol: 10 (10)Pages: 1214-1220   Publisher: Institution of Engineering and Technology

Abstract

In this study, the energy efficient joint antenna scheduling, subcarrier assignment and power allocation are studied in an orthogonal frequency division multiple access‐based distributed antenna system. A new power consumption model is proposed to the consideration of the backhauling power, which is appropriate for the architecture of distributed antenna deployment and centralised signal processing. Under the maximum transmit power constraint per distributed antenna unit and the minimum rate requirement per user, the authors formulate a mixed‐integer optimisation problem to maximise the system energy efficiency. Due to the intractability, at first, a heuristic antenna scheduling strategy is proposed based on the received pilot signal power strength. Then, the remaining joint subcarrier and power allocation is equivalently turned into a parametric problem, which is solved by employing the Lagrange duality method and the Dinkelbach's algorithm. Simulation results show that the authors’ proposed joint resource allocation algorithm greatly improves the system energy efficiency.

Keywords:
Orthogonal frequency-division multiple access Computer science Distributed antenna system Division (mathematics) Resource allocation Antenna (radio) Telecommunications Orthogonal frequency-division multiplexing Distributed computing Computer network Mathematics Arithmetic

Metrics

9
Cited By
1.44
FWCI (Field Weighted Citation Impact)
29
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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