Vol.10, No.2, May 2021.                                                                                                                                                                                    ISSN: 2217-8309

                                                                                                                                                                                                                         eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Adaptive Relay Selection Scheme Based on Bayesian Inference (AS-BI) for Cooperative Communication

in 5G Networks


Madeeha Ishtiaq, Shakeel A. Waqas, Muhammad Saifullah, Nazih K. Mallat


© 2021 Nazih K. Mallat, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 10, Issue 2, Pages 839-846, ISSN 2217-8309, DOI: 10.18421/TEM102-43, May 2021.


Received: 09 January 2021.

Revised:   06 April 2021.
Accepted: 12 April 2021.
Published: 27 May 2021.




In this paper, a Bayesian inference-based relay selection scheme, also called Adaptive Selection on Bayesian Inference (AS-BI) for cooperative networks in 5G networks is invoked. This scheme works on the principle of Amplify-and-Forward (AF) protocol which selects the most optimal relay towards the destination. This paper proposed a probabilitybased relay selection scheme in which posterior probability is calculated for the selection of relay node based on the prior and conditional probabilities. The proposed scheme has been accepted as optimal solution for relay selection, which significantly enhances the network performance by reducing (BER) for constant SNR.


Keywords –Cooperative Network, 5G, Amplify-and-Forward, relay selection scheme, Bayesian Inference.



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