Joint Optimal Power Allocation, Relay Selection and Subchannel Pairing in OFDM Based Regenerative Relay Networks

Yu Zhang; Rui Yin; Guanding Yu; Zhaoyang Zhang; Jietao Zhang

ChinaCom2009-Wireless Communications and Networking Symposium

Research Article

Joint Optimal Power Allocation, Relay Selection and Subchannel Pairing in OFDM Based Regenerative Relay Networks

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CHINACOM.2009.5339804,
    author={Yu Zhang and Rui Yin and Guanding Yu and Zhaoyang Zhang and Jietao Zhang},
    title={Joint Optimal Power Allocation, Relay Selection and Subchannel Pairing in OFDM Based Regenerative Relay Networks},
    proceedings={ChinaCom2009-Wireless Communications and Networking Symposium},
    publisher={IEEE},
    proceedings_a={CHINACOM2009-WCN},
    year={2009},
    month={11},
    keywords={},
    doi={10.1109/CHINACOM.2009.5339804}
}

Yu Zhang
Rui Yin
Guanding Yu
Zhaoyang Zhang
Jietao Zhang
Year: 2009
Joint Optimal Power Allocation, Relay Selection and Subchannel Pairing in OFDM Based Regenerative Relay Networks
CHINACOM2009-WCN
IEEE
DOI: 10.1109/CHINACOM.2009.5339804

Yu Zhang¹^,*, Rui Yin¹^,*, Guanding Yu¹^,*, Zhaoyang Zhang¹, Jietao Zhang²

1: Institute of Information and Communication Engineering, Zhejiang University, Hangzhou 310027, China
2: Wireless Research Department, Huawei Technologies Co., Ltd., Shenzhen 518129, China

*Contact email: xrk2000@yahoo.com.cn, ning_ming@zju.edu.cn, yuguanding@zju.edu.cn

Abstract

Power allocation, relay selection and subchannel pairing are three important issues in OFDM based relay wireless systems to improve the system performance and reliability. In this paper, we will propose a joint power allocation, relay selection and subchannel pairing algorithm. The goal of the algorithm is to maximize the system capacity under the constraint of overall power at both source and relay nodes. We prove that the algorithm is the optimal solution to the problem, however, its’ complexity is too high to be employed in the practical applications. Therefore, we also proposed a sub-optimal algorithm with low computational complexity. Through numerical simulations, the performances of both optimal and suboptimal algorithms are evaluated

Published: 2009-11-20
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CHINACOM.2009.5339804