Predictive_Relay_Selection.pdf (562.02 kB)
Download file

Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

Download (562.02 kB)
posted on 2021-02-08, 16:47 authored by Wei JiangWei Jiang, Hans Dieter Schotten
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channel prediction, the proposed scheme remarkably lowers the probability of wrong relay selection arising from outdated CSI in fast time-varying channels.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.


Email Address of Submitting Author

ORCID of Submitting Author

Submitting Author's Institution

German Research Center for Artificial Intelligence (DFKI)

Submitting Author's Country

  • Germany