Publikation

Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

Wei Jiang, Hans Dieter Schotten

In: IEEE Wireless Communications and Networking Conference. IEEE Wireless Communications and Networking Conference (WCNC-2021) March 29-April 1 Nanjing China IEEE 2021.

Abstrakt

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channel prediction, the proposed scheme remarkably lowers the probability of wrong relay selection arising from outdated CSI in fast time-varying channels.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.

Projekte

Predictive_Relay_Selection.pdf (pdf, 609 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence