Özet:

Cooperative Communication system consists of source, relays and destination nodes Source transmits signals to relays and target node, and relays transmit the decoded signals to the target node. The best relay selection is an important issue in terms of maintaining spectral efficiency in cooperative communication systems. In addition, for a secure communication, it is necessary to maximize the signal-to-noise ratios between the source relay and relay destination nodes. Deep learning (DL) technique has been a technique that have been widely used among physical level communication techniques. DL proposes alternative solutions to existing communication techniques. In this study, the best relay has been selected with DL technique. Best relay selection has been implemented by considering power optimization while transmitting from source to the best relay and transmitting between the best relay and target node. The results obtained with the Convolutional Neural Network (CNN) technique are more successful in terms of error performance than the results found with the best relay detected by the traditional maxmin method. In addition, power optimization also has a significant effect on error performance with DL.