Adaptive Relay Selection Scheme Based on Bayesian Inference (AS-BI) for Cooperative Communication in 5G Networks
Adaptive Relay Selection Scheme Based on Bayesian Inference (AS-BI) for Cooperative Communication in 5G Networks
Author(s): Madeeha Ishtiaq, Shakeel A. Waqas, Muhammad Saifullah, Nazih K. MallatSubject(s): ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Cooperative Network; 5G; Amplify-and-Forward; relay selection scheme; Bayesian Inference
Summary/Abstract: 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.
Journal: TEM Journal
- Issue Year: 10/2021
- Issue No: 2
- Page Range: 839-846
- Page Count: 8
- Language: English
