IEEE/ICACT20230157 Slide.12        [Big Slide]       [YouTube] Oral Presentation
We design the EDRSN as a modification of the residual network (ResNet) as shown in Fig 5. We first input Yk and P into SLS estimation to obtain the rough channel estimation result. Then,and the real channel matrix Hk are fed into the EDRSN as input data and labels. At last, the EDRSN optimizes the network parameters by means of a moment estimation gradient descent algorithm to make the predicted channel matrixmore closely resemble the real channel matrix Hk.

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