An Efficient Relay–Destination Selection Scheme for Multiuser Multirelay Downlink Cooperative Networks

2012 ◽  
Vol 61 (5) ◽  
pp. 2354-2360 ◽  
Author(s):  
Marco Antonio Beserra de Melo ◽  
Daniel Benevides da Costa
2020 ◽  
Author(s):  
Weidong Guo ◽  
Lin Sun

Abstract In this paper, we analyze the performance of a full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) model in multi-relay multiuser networks. In contrast to conventional cooperative networks, relays in the considered network have no embedded energy supply, but they can harvest energy from the radio-frequency signals broadcasted by the source to facilitate the cooperative NOMA transmission. Based on this structure, we propose a novel relay selection scheme in Nakagami-m fading channels by considering both the channel state information (CSI) and the battery statuses of relays. Assuming each relay has finite energy storage for the energy accumulation, we adpot a finite Markov chain to capture the evolution of relay batteries and simplify the performance analysis by making some reasonable assumptions. General closed-form expressions of the outage probability and the ergodic sum-rate are derived. All the theoretical results are validated by Monte-Carlo simulations. The impacts of various system parameters, such as the number of relays and the self-interference (SI) at the involved relay, on the performance are extensively investigated. It is shown that the FD relaying achieves better performance in the moderate and high SNR regions and the usage of NOMA with FD relaying outperforms the conventional orthogonal multiple access (OMA) network in terms of terminal fairness.


2020 ◽  
Vol 69 (4) ◽  
pp. 4548-4552 ◽  
Author(s):  
Peng Xu ◽  
Zheng Yang ◽  
Zhiguo Ding ◽  
Ioannis Krikidis ◽  
Qianbin Chen

TEM Journal ◽  
2021 ◽  
pp. 839-846
Author(s):  
Madeeha Ishtiaq ◽  
Shakeel A. Waqas ◽  
Muhammad Saifullah ◽  
Nazih K. Mallat

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.


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