… However, in frequency-division duplex (FDD) systems, both downlink training and CSI
feedback are necessary, and extensive overhead for CSI acquisition is caused by the …

… Enabling FDD massive MIMO has thus been a popular research topic in recent years [2]–[4]. …
of channel state information for the downlink. Current systems use downlink training and …

… massive MIMO systems, we propose a channel estimation scheme based on compressive
… (CS) and deep learning (DL) in frequency division duplexing (FDD) massive MIMO systems. …

… , but the interference cancellation of training sequences of different transmit antennas will …
channel estimation schemes for FDD massive MIMO systems, where we consider the channel …

… Conventional channel training and feedback schemes usually contains two steps: … training
and uplink feedback, we propose a CS-based scheme that considers channel training and …

… In frequency division duplex (FDD) systems, the CSI is acquired through a feedback signal
… to an important overhead in FDD massive MIMO systems. Focusing on these systems, in this …

… of channel state information (CSI) at the BS. In time division duplexing (TDD) massive
MIMO systems, the uplink training enables CSI acquisition by exploiting channel reciprocity [4]–[6]. …

… that the FDD massive MIMO system is operated in orthogonal frequency division multiplexing
(OFDM) scheme and the channel is time-varying. We define that the system has NS …

… In this paper, a new deep learning (DL) method based on … division duplex (FDD) massive
MIMO system. Simulation results … SYSTEM MODEL We consider a FDD massive MIMO system …

… [11], such results might not be directly extended to massive MIMO systems. With … training
structure under the closed-loop training framework. Then, with the ideal feedback of the channel …