Adaptive relay selection technique for cooperative network over Nakagami fading channels

Abstract

In this paper, we propose a new multi-node relay network, that works on the Amplify-and-Forward protocol, to select the most optimal path towards the destination; thus adaptively setting the number of relays to be involved in the cooperation. Nakagami-2 fading channel is considered in the modeling and Instantaneous channel state information (CSI) from the destination is used as the selection criteria at the relays. Locations of the relays and distances between them are taken into account for an improved signal to noise ratio (SNR) with reduction in the bit error rate (BER). Moreover, spatial diversity is applied on the destination using maximal ratio combining (MRC). An analysis of the different spatial diversity techniques is done to find the best suited technique and simulation results for a much less BER over a number of symbols in the input is presented.

Adaptive Relay Selection Scheme Based on Bayesian Inference (AS-BI) for Cooperative Communication in 5G Networks

“…In [5] [6], regarding to the channel state information, the relay selection scheme using power control is applied based on the defined threshold. Moreover, the authors proposed a scheme relay selection-power allocation-particle Swarm Ant colony optimization (RS-PA-PSACO) based on the PSACO algorithm which may simultaneously obtain the optimal solution of relay selection and power allocation to minimize the symbol error rate (SER) with a fixed total power constraint [7], [8]. Further, in [9] the channel state information (CSI) has invoked as some selection criteria with location of relays and the distance between them which significantly improves the SNR and reduces the BER.…”