… In this paper, a downlink training sequences design approach is proposed for the channel
estimation in FDD massive MIMO systems. The principal insight is to exploit the channel …

… (FDD) systems could be large. To reduce the overhead in FDD systems, we propose efficient
eigenspace training … In the downlink training, the prebeamforming matrix is designed based …

… The related issues in combining reverse training and FDD systems for massive MIMO will
be carefully investigated in this paper. The detailed comparisons among typical TDD, …

… training sequences in FDD multiuser massive MIMO systems that exploit users’ spatial
correlations. With optimized designs, a number of training … non-zero channel power when strong …

… To reduce the downlink training and the uplink feedback overhead for orthogonal frequency-…
FDD massive MIMO systems, we propose an effective and practical downlink channel …

… 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 …

… limited channel coherence time. To deal with the limited downlink channel training in a FDD
massive MIMO system, one option is to explore sparse representation of the channel in an …

… a large amount of channel measurements as training … nel sparse representation of massive
MIMO systems with an … Bayesian learning (SBL) approach [23], [24] for joint sparse channel …

… We assume an FDD system with training for channel estimation in both the uplink and the
downlink. In the uplink frame, each user first transmits orthogonal pilot symbols to the base …

… We have outlined an overall framework for FDD massive MIMO systems that includes the
use of gridof-beams and inter-site JT CoMP for interference mitigation. The resulting gross …