… (BS) antennas, in sharp contrast to TDDbased massive MIMO, where a single UL pilot trains
the … to reducing DL training and UL feedback overheads in FDD massive MIMO systems. In …

… Abstract—Channel state information at … (FDD) massive MIMO systems, but conventional
solutions involve overwhelming overhead both for downlink channel training and uplink channel …

… due to the high channel dimension and the lack of Uplink-Downlink (UL-DL) channel
reciprocity in FDD mode. In particular, the difficulty arises in common channel training and DL …

… Abstract—Acquisition of accurate channel state information (… -division duplexing (FDD)
massive MIMO systems. Although … the pilot training overhead for massive MIMO systems, the …

… channel estimation faces several new challenges with large number of antennas. For the
downlink (DL) training in massive MIMO systems, the severe training … the system performances. …

… Our technique also yields a near-optimal performance using only few pilot measurements,
indicating a significant reduction in training and feedback overhead in FDD massive MIMO …

… overhead by exploiting the structure of spatial channel correlation [2]. In [3], a CSIT estimation
… is to reduce the channel training overhead in downlink FDD massive MIMO systems. The …

… category of sparse Bayesian learning. The novelty mainly … FDD multi-user massive MIMO
systems, and propose a variational Bayesian inference based approach for downlink channel …

… we focus on the beam training for a multi-user mmWave massive MIMO system and propose
a 3D codebook design, as well as the corresponding fast beam training scheme. We also …

… In high mobility scenarios, we frequently apply downlink training to track the multiuser
downlink channel that keeps varying with time. The operation period is short. In order to decrease …