… We consider a single cell massive MIMO system operated in FDD mode. The BS is equipped
with N antennas and each UE has a single antenna. Assume a narrowband block fading …

… In this work, we extend the sparse channel representation framework to … channel training
in a FDD massive MIMO system, one option is to explore sparse representation of the channel …

… representation of massive MIMO systems with an arbitrary 2D-array geometry, and we
propose an efficient sparse Bayesian learning (SBL) approach [23], [24] for joint sparse channel …

… channel correlation. We compare our achievable rates with TDD massive MIMO systems, iid
FDD systems… The dotted and solid lines represent the system with iid channels and spatially …

… measurement [12]–[15], and a sparse channel can be estimated … Since massive MIMO
channels exhibit limited scatters compared to the large number of antennas, it can be represented …

… In addition, fast channel variation renders … channel prediction scheme for FDD mMIMO,
which requires only the TDD overhead. Specifically, the downlink channel matrix is represented …

… 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 assume a uniform linear array (ULA) model in the massive MIMO system. Using the
representation in the angular-delay domain, the channel matrices can be described as …

… ) 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 … , let M2 represent the set …

… Although their instantaneous channels can be equivalently represented by their low-rank
covariance’s signal space projections, accurate (reduced) instantaneous CSI feedback is still …