Open AccessAn Optimal Selection Algorithm Based on Q-Learning For Dual Media Communication System With Full-Duplex Relays
Author(s) -
Hong Wang,
Shujuan Zhang,
Zhixiong Chen,
Meiru Huo,
Fan Li,
Lixia Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2031/1/012020
Subject(s) - relay , computer science , selection (genetic algorithm) , dual (grammatical number) , selection algorithm , relay channel , interference (communication) , channel (broadcasting) , wireless , antenna (radio) , transmission (telecommunications) , signal (programming language) , communications system , computer network , algorithm , telecommunications , artificial intelligence , art , power (physics) , physics , literature , quantum mechanics , programming language
Full-duplex communication technology can make full use of spectrum resources through simultaneous co-frequency transmission, but the interference of the signal sent by the device itself degrades performance. The paper proposes a joint antenna and relay selection algorithm based on Q-learning, which selects the best relay with the best transmit-receive configuration for the communication between the source and the target. Specifically, by learning the dual-medium cooperative communication environment to obtain feedback in terms of interruption probability and channel capacity, so as to determine the best relay and antenna. Finally, the paper verifies the effectiveness of the algorithm by simulation.