… ) cellular systems in frequency division duplex (FDD) mode, … downlink CSI in FDD massive
MIMO systems has considered … )), and machine learning using deep neural networks (DNNs). …

… channel reconstruction in FDD mmWave massive MIMO is less understood in the … FDD
massive MIMO systems. We propose a new neural network structure and an end-to-end learning …

… , which considers the spatial correlation of massive MIMO channel data… massive MIMO
systems, this paper proposes a DL-based CSI feedback algorithm for FDD massive MIMO systems…

… Frequency Division Duplexing (FDD) massive MIMO systems. Conventional methods apply
… a machine learning enhanced CSI acquisition and training solution for FDD massive MIMO. …

… a deep learning (DL)based hybrid precoding scheme for FDD massive MIMO-OFDM systems
… as an end-to-end (E2E) neural network. We adopt an E2E training method to jointly train all …

… fifth generation (5G) cellular systems. Massive MIMO systems employ tens or hundreds of
antennas at the base station to enable advanced multiuser MIMO communications. To reap the …

… We consider the DL of a FDD massive MIMO system, where a BS with Mt transmit antennas
sends signals to the MS that is equipped withMr receive antennas. After collectingN temporal …

… We consider the massive MIMO system composed of a base station (BS) with Nt antennas
… Li, “Deep learning-based CSI feedback approach for time-varying massive MIMO channels,” …

… Alkhateeb, “Deep learning for TDD and FDD massive MIMO: Mapping channels in space …
“Deep learning for distributed channel feedback and multiuser precoding in FDD massive MIMO…

… We consider a single cell massive MIMO system operated in FDD mode. The BS is equipped
… His research interests include statistical signal processing, machine learning, and wireless …