  The orthogonal time-frequency space (OTFS) modulation is proposed for beyond
5G wireless systems to deal with high mobility communications. The existing low
complexity OTFS detectors exhibit poor performance in rich scattering
environments where there are a large number of moving reflectors that reflect
the transmitted signal towards the receiver. In this paper, we propose an OTFS
detector, referred to as the BPICNet OTFS detector that integrates NN, Bayesian
inference, and parallel interference cancellation concepts. Simulation results
show that the proposed OTFS detector significantly outperforms the
state-of-the-art.
