Vol.69, No.1, 2021, pp.539-553, doi:10.32604/cmc.2021.018061
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ARTICLE
Two-Phase Bidirectional Dual-Relay Selection Strategy for Wireless Relay Networks
  • Samer Alabed*, Issam Maaz, Mohammad Al-Rabayah
College of Engineering and Technology, American University of the Middle East, Kuwait
* Corresponding Author: Samer Alabed. Email:
(This article belongs to this Special Issue: Reinforcement Learning Based solutions for Next-Generation Wireless Networks Coexistence)
Received 23 February 2021; Accepted 29 March 2021; Issue published 04 June 2021
Abstract
In this article, we introduce a new bi-directional dual-relay selection strategy with its bit error rate (BER) performance analysis. During the first step of the proposed strategy, two relays out of a set of N relay-nodes are selected in a way to optimize the system performance in terms of BER, based on the suggested algorithm which checks if the selected relays using the max-min criterion are the best ones. In the second step, the chosen relay-nodes perform an orthogonal space-time coding scheme using the two-phase relaying protocol to establish a bi-directional communication between the communicating terminals, leading to a significant improvement in the achievable coding and diversity gain. To further improve the overall system performance, the selected relay-nodes apply also a digital network coding scheme. Furthermore, this paper discusses the analytical approximation of the BER performance of the proposed strategy, where we prove that the analytical results match almost perfectly the simulated ones. Finally, our simulation results show that the proposed strategy outperforms the current state-of-the-art ones.
Keywords
Two-way wireless relay networks; cooperative diversity techniques; distributed space-time coding; relay selection strategies; network coding schemes
Cite This Article
S. Alabed, I. Maaz and M. Al-Rabayah, "Two-phase bidirectional dual-relay selection strategy for wireless relay networks," Computers, Materials & Continua, vol. 69, no.1, pp. 539–553, 2021.
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