KEYWORDS: Relays, Telecommunications, Deep learning, Data transmission, Mathematical optimization, Data communications, Wireless communications, Energy harvesting, Network security, Instrument modeling
The current conventional transmission line communication relay selection strategy is mainly based on one-way relay system, which leads to large system capacity occupation due to the lack of calculation of relay transmission rate. In this regard, the study of transmission line communication relaying based on deep learning routing optimization algorithm is proposed. A two-way model of transmission line communication network is constructed by using double-half duplex mode to build orthogonal channels. The relay transmission rate is calculated, and the selection of relay nodes is completed by constructing a loss function and mapping the system operation. In the experiments, the performance of the proposed method is verified for relay selection. The experimental results show that the proposed method has a larger system capacity and a smaller space occupation when relay node selection is performed, and has a more desirable relay selection performance.
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