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Non-Orthogonal Multiple Access (NOMA) has higher spectral efficiency thanorthogonal multiple access (OMA) techniques. In uplink communication systemsthat the channel is not known at the receiver, pilot signals sent from eachuser in different time intervals have reduced the spectral efficiency of NOMA.In this study, in the uplink communication system, DL-deep learning baseddetectors which are known to respond to the pilot signals sent from the usersat the base station have been researched. It is aimed to maintain the spectralefficiency of NOMA by sending a single pilot from users, thus reducing the timeinterval in the DL detectors.

Pilot Interval Reduction by Deep Learning Based Detectors in Uplink NOMA