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Max-gain relay selection scheme for wireless networks

Ullah, Shafqat; Malik, Mazhar Hussain; Tuysuz, Mehmet Fatih; Hasnain, Muhammad; Aydin, Mehmet Emin

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Authors

Shafqat Ullah

Mazhar Hussain Malik

Mehmet Fatih Tuysuz

Muhammad Hasnain

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Dr Mehmet Aydin Mehmet.Aydin@uwe.ac.uk
Senior Lecturer in Networks and Mobile Computing



Abstract

© 2020 Karabuk University Next generation wireless systems are supposed to handle high amount of data with broader coverage and high quality of service (QoS). When a signal travels from a source to destination, the signal quality may suffer from the fading, which makes it difficult to receive correct messages. To handle the impact of fading, various diversity techniques are performed with Multiple Input Multiple Output (MIMO). Considering cooperative wireless networks, virtual MIMOs are being used, which also called cooperative diversity. In this paper, we propose a max-gain relay selection scheme (MGRS) for buffer-aided wireless cooperative networks. This scheme determines the best link using the maximum gain based on quality of link and available buffer size. The time slot is divided into two parts, one is used to choose the best link from the source to relay transmission (odd slot) and another time slot (even) is used based on the selection of the best link from the relay to destination. Markov chain model is use to measure buffer status and QoS parameters to evaluate the performance. The proposed scheme provides better QoS (12%) compared to the existing relay selection schemes with respect to throughput, end-to-end delay and outage probability.

Journal Article Type Article
Acceptance Date Aug 19, 2020
Online Publication Date Sep 26, 2020
Publication Date Feb 1, 2021
Deposit Date Sep 27, 2020
Publicly Available Date Feb 3, 2021
Journal Engineering Science and Technology, an International Journal
Electronic ISSN 0975-5462
Publisher Engg Journals Publications
Peer Reviewed Peer Reviewed
Volume 24
Issue 1
Pages 183-191
DOI https://doi.org/10.1016/j.jestch.2020.08.009
Public URL https://uwe-repository.worktribe.com/output/6726606

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