Deep Learning for SWIPT: Optimization of Transmit-Harvest-Respond in Wireless-Powered Interference Channel

In this paper, we consider a wireless-powered two-way communication, called transmit-harvest-respond , with co-channel interference. The two-way communication considered here comprises three steps: i) transmitters send data signals, ii) receivers decode information and harvest energy simultaneously...

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Veröffentlicht in:	IEEE transactions on wireless communications 2021-08, Vol.20 (8), p.5018-5033
Hauptverfasser:	Lee, Woongsup, Lee, Kisong, Choi, Hyun-Ho, Leung, Victor C. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cochannel interference Computing time Convexity Deep learning Energy harvesting Interference interference channel Interference channels Iterative algorithms Iterative methods Machine learning neural network Optimization Protocols Receivers Resource management simultaneous wireless information and power transmission Training Transmitters Wireless communication Wireless communications
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