JOURNAL ARTICLE

Energy-efficient resource allocation for uplink orthogonal frequency division multiple access systems using correlated equilibrium

Dan WuLiang ZhouYueming Cai

Year: 2012 Journal:   IET Communications Vol: 6 (6)Pages: 659-667   Publisher: Institution of Engineering and Technology

Abstract

Owing to the evolution of green communications, energy efficiency is treated as an important performance metric of a uplink orthogonal frequency division multiple access (OFDMA) system. In this study, the authors propose an energy-efficient resource allocation scheme by using the correlated equilibrium (CE). At first, the authors construct an energy-efficient resource allocation game, where each subcarrier is viewed as a player to choose the most satisfying user, and the objective is to balance the tradeoff between the total energy efficiency and the fairness. Since the CE can achieve better performance by helping the non-cooperative players coordinate their strategies, the authors employ the CE to analyse the proposed game. Next, the authors derive the condition under which the CE is Pareto optimal and employ linear programming duality to show its closed-form expressions. Furthermore, the authors present a linear programming method and a distributed algorithm based on the regret matching procedure to implement the CE, respectively, which can help us determine the desired resource allocation. Simulation results demonstrate that our scheme is able to achieve good convergence, Pareto optimality and fairness.

Keywords:
Orthogonal frequency-division multiple access Mathematical optimization Computer science Resource allocation Subcarrier Telecommunications link Efficient energy use Regret Fractional programming Pareto principle Frequency-division multiple access Performance metric Orthogonal frequency-division multiplexing Mathematics Nonlinear programming Telecommunications Computer network Nonlinear system

Metrics

18
Cited By
1.75
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
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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