  This letter proposes a novel deep neural network (DNN) assisted cooperative
reconfigurable intelligent surface (RIS) scheme and a DNN-based symbol
detection model for intervehicular communication over cascaded Nakagami-m
fading channels. In the considered realistic channel model, the channel links
between moving nodes are modeled as cascaded Nakagami-m channels, and the links
involving any stationary node are modeled as Nakagami-m fading channels, where
all nodes between source and destination are realized with RIS-based relays.
The performances of the proposed models are evaluated and compared with the
conventional methods in terms of bit error rates (BER). It is exhibited that
the DNN-based systems show near-identical performance with low system
complexity.
