Multi-relay selection strategy in two-hop amplify-and-forward relay network based on deep learning
FANG Guoxing, JIA Nannan, ZHANG Yifan, WANG Longlong, WANG Shuxian, Ru Yang, Zhangjie Peng · DOAJ (DOAJ: Directory of Open Access Journals) · 2020
The problem of multi-relay selection in a two-hop amplify-and-forward relay network was studied in this paper.Aiming at maximizing the average receiving signal-to-noise ratio (SNR) of the receiver,the problem was firstly considered as 0-1 non-linear integer programming problem which was an NP-hard problem and the optimal solution could only be obtained by exhaustive method.In this paper,we proposed one kind of multi-relay selection strategyin a two-hop amplify-and-forward relay network based on deep learning to reduce the time complexity.Simulation results showed that the method achieved the same average receiving SNR as the exhaustive method,and the time complexity was significantly reduced compared with the exhaustive method.