Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

Autor:	Jiang, Wei, Schotten, Hans Dieter
Rok vydání:	2021
Předmět:	Computer Science - Information Theory Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	In this paper, we propose a novel cooperative multi-relay transmission scheme for mobile terminals to exploit spatial diversity. By improving the timeliness of measured channel state information (CSI) through deep learning (DL)-based channel prediction, the proposed scheme remarkably lowers the probability of wrong relay selection arising from outdated CSI in fast time-varying channels. It inherits the simplicity of opportunistic relaying by selecting a single relay, avoiding the complexity of multi-relay coordination and synchronization. Numerical results reveal that it can achieve full diversity gain in slow-fading channels and substantially outperforms the existing schemes in fast-fading wireless environments. Moreover, the computational complexity brought by the DL predictor is negligible compared to off-the-shelf computing hardware. Comment: IEEE Wireless Communications and Networking Conference (WCNC) 2021, Accepted
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2102.03325 Zobrazit plný text záznamu View this record from Arxiv