Transformer based models for time-series forecasting have shown promising performance and during the past few years different Transformer variants have been proposed in time-series forecasting domain.
A major challenge in enhancing the performance of multi-user cognitive radio networks lies in accurately characterizing the dynamic service arrivals of secondary users (SUs) for optimal spectrum ...