… Consider an FDD massive MIMO system, where the BS has Nt … Deep autoencoder
based CSI feedback with feedback errors and feedback delay in FDD massive MIMO systems…

… 2) We propose a SCNet for downlink CSI prediction in FDD massive MIMO systems, which
is applicable to complex-valued function approximation with complexvalued representations. …

… We consider a massive MIMO orthogonal division multiplexing (OFDM) system operating
in the FDD mode. There are NBS antennas equipped at the BS and there are K users, each …

… massive MIMO systems and for both TDD and FDD system operation modes, as we will
discuss in Section IV. Channel Model: Let hu,m(f1) denote the channel from user u to antenna m …

… This paper proposed a SampleDL method for downlink CSI feedback in FDD massive MIMO
systems. By combing compressive sampling with NNs, the proposed method outperforms …

… -linear function that is approximated by a deep neural network. Based on Definition 4 and …
massive MIMO systems can be formulated as a typical DTL problem, where the k-th learning …

… System Model An FDD massive MIMO system where BS has Nt antennas and UE has a
single antenna is considered in this paper. OFDM with Nc subcarriers is adopted in the system. …

… This paper considers an FDD massive MIMO system operating in mmWave propagation
environment [9] in which the number of scatterers is limited. Accordingly, the sparse channel of …

… via deep learning in such a way that the neural network (NN) … general solution for the FDD
Massive MIMO problem is known. … Although machine learning and, in particular, deep learning …

In this paper, a channel state information (CSI) feedback method is proposed based on deep
transfer learning (DTL). The proposed method addresses the problem of high training cost …