Delay-phase precoding for wideband THz massive MIMO
Benefiting from tens of GHz of bandwidth, terahertz (THz) communication has become a
promising technology for future 6G network. To deal with the serious propagation loss of THz …
promising technology for future 6G network. To deal with the serious propagation loss of THz …
Reconfigurable intelligent surface aided high-mobility millimeter wave communications with dynamic dual-structured sparsity
Although reconfigurable intelligent surface (RIS) has been touted as a technology star for
future wireless networks, the critical bottleneck still lies in the accurate acquisition of channel …
future wireless networks, the critical bottleneck still lies in the accurate acquisition of channel …
3D channel tracking for UAV-satellite communications in space-air-ground integrated networks
The space-air-ground integrated network (SAGIN) aims to provide seamless wide-area
connections, high throughput and strong resilience for 5G and beyond communications …
connections, high throughput and strong resilience for 5G and beyond communications …
Sparse channel estimation via hierarchical hybrid message passing for massive MIMO-OFDM systems
In this paper, we investigate a sparse channel estimation problem for broadband massive
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …
[HTML][HTML] Channel estimation using spatial partitioning with coalitional game theory (SPCGT) in wireless communication
S Dhanasekaran, J Ramesh - Wireless Networks, 2021 - Springer
In 5G wireless communication estimation, of downlink channel with orthogonal frequency
division multiplexing (OFDM) integrated with multiple input multiple output (MIMO) is a …
division multiplexing (OFDM) integrated with multiple input multiple output (MIMO) is a …
Channel tracking and prediction for IRS-aided wireless communications
For intelligent reflecting surface (IRS)-aided wireless communications, channel estimation is
essential and usually requires excessive channel training overhead when the number of IRS …
essential and usually requires excessive channel training overhead when the number of IRS …
Channel estimation for XL-RIS-aided millimeter-wave systems
Reconfigurable intelligent surface (RIS) is able to enhance the capacity of wireless
communication systems with low overhead. Extremely large (XL)-RIS-aided millimeter-wave …
communication systems with low overhead. Extremely large (XL)-RIS-aided millimeter-wave …
Federated online deep learning for CSIT and CSIR estimation of FDD multi-user massive MIMO systems
In this paper, we propose a federated online training framework for deep neural network
(DNN)-based channel estimation (CE) in frequency-division duplexing (FDD) multi-user …
(DNN)-based channel estimation (CE) in frequency-division duplexing (FDD) multi-user …
A Two-Stage 2D Channel Extrapolation Scheme for TDD 5G NR Systems
Recently, channel extrapolation has been widely investigated in frequency-division duplex
(FDD) massive multiple-input multiple-output (MIMO) systems. However, in time-division …
(FDD) massive multiple-input multiple-output (MIMO) systems. However, in time-division …
Temporally correlated compressed sensing using generative models for channel estimation in unmanned aerial vehicles
Bayesian modelling of the channel distribution is a crucial step before channel recovery
specially in the underdetermined scenario in multiple input multiple output (MIMO) antenna …
specially in the underdetermined scenario in multiple input multiple output (MIMO) antenna …