Analysis of channel uncertainty in ARQ relay networks

Ajmal, Hina, Khan, Aimal, Rehman, Saad, Hussain, Farhan, Alam, Mohammad and Young, Rupert (2018) Analysis of channel uncertainty in ARQ relay networks. PLoS ONE, 13 (1). pp. 1-21. ISSN 1932-6203

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Abstract

Several power allocation algorithms for cooperative relay networks are presented in the literature. These contributions assume perfect channel knowledge and capacity achieving codes. However in practice, obtaining the channel state information at a relay or at the destination is an estimation problem and can generally not be error free. The investigation of the power allocation mechanism in a wireless network due to channel imperfections is important because it can severely degrade its performance regarding throughput and bit error rate. In this paper, the impact of imperfect channel state information on the power allocation of an adaptive relay network is investigated. Moreover, a framework including Automatic Repeat reQuest (ARQ) mechanism is provided to make the power allocation mechanism robust against these channel imperfections. For this framework, the end-to end SNR is calculated considering imperfect channel knowledge using ARQ analytically. The goal is to emphasize the impact of imperfect channel knowledge on the power allocation mechanism. In this paper, the simulation results illustrate the impact of channel uncertainties on the average outage probability, throughput, and consumed sum power for different qualities of channel estimation. It is shown that the presented framework with ARQ is extremely robust against the channel imperfections.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Industrial Informatics and Signal Processing Research Group
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5103.2 Wireless communication systems
Depositing User: Rupert Young
Date Deposited: 09 Apr 2018 09:07
Last Modified: 02 Nov 2018 09:54
URI: http://sro.sussex.ac.uk/id/eprint/74913

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