JOURNAL ARTICLE

Power allocation framework for OFDMA-based decode-and-forward cellular relay networks

Yalda FarazmandAttahiru Sule Alfa

Year: 2014 Journal:   Journal of Communications and Networks Vol: 16 (5)Pages: 559-567   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this paper, a framework for power allocation of downlink transmissions in orthogonal frequency division multiple access-based decode-and-forward cellular relay networks is investigated. We consider a system with a single base station communicating with multiple users assisted by multiple relays. The relays have limited power which must be divided among the users they support in order to maximize the data rate of the whole network. Advanced power allocation schemes are crucial for such networks. The optimal relay power allocation which maximizes the data rate is proposed as an upper bound, by finding the optimal power requirement for each user based on knapsack problem formulation. Then by considering the fairness, a new relay power allocation scheme, called weighted-based scheme, is proposed. Finally, an efficient power reallocation scheme is proposed to efficiently utilize the power and improve the data rate of the network. Simulation results demonstrate that the proposed power allocation schemes can significantly improve the data rate of the network compared to the traditional scheme.

Keywords:
Computer science Relay Telecommunications link Orthogonal frequency-division multiple access Cellular network Computer network Power (physics) Resource allocation Base station Knapsack problem Scheme (mathematics) Mathematical optimization Orthogonal frequency-division multiplexing Algorithm Mathematics

Metrics

3
Cited By
1.10
FWCI (Field Weighted Citation Impact)
54
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

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