Channel estimation for orthogonal time frequency space (OTFS) massive MIMO
Orthogonal time frequency space (OTFS) modulation outperforms orthogonal frequency
division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS massive …
division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS massive …
An adaptive and robust deep learning framework for THz ultra-massive MIMO channel estimation
Terahertz ultra-massive MIMO (THz UM-MIMO) is envisioned as one of the key enablers of
6G wireless networks, for which channel estimation is highly challenging. Traditional …
6G wireless networks, for which channel estimation is highly challenging. Traditional …
Hybrid knowledge-data driven channel semantic acquisition and beamforming for cell-free massive MIMO
This article focuses on advancing outdoor wireless systems to better support ubiquitous
extended reality (XR) applications, and close the gap with current indoor wireless …
extended reality (XR) applications, and close the gap with current indoor wireless …
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 …
Bayesian channel estimation in multi-user massive MIMO with extremely large antenna array
We investigate wideband uplink channel estimation for a multi-user (MU) multiple-input
single-output (MISO) OFDM system, in which the base station (BS) is equipped with an …
single-output (MISO) OFDM system, in which the base station (BS) is equipped with an …
Joint pilot optimization, target detection and channel estimation for integrated sensing and communication systems
Radar sensing will be integrated into the 6G communication system to support various
applications. In this integrated sensing and communication system, a radar target may also …
applications. In this integrated sensing and communication system, a radar target may also …
Robust deep learning for uplink channel estimation in cellular network under inter-cell interference
Deep learning (DL)-based channel estimation has achieved remarkable success. However,
most existing works focus on the white Gaussian noise which are inapplicable for cell-edge …
most existing works focus on the white Gaussian noise which are inapplicable for cell-edge …
Channel estimation for massive MIMO: An information geometry approach
In this paper, we investigate the channel estimation for massive multi-input multi-output
orthogonal frequency division multiplexing (MIMO-OFDM) systems. Using the sampled …
orthogonal frequency division multiplexing (MIMO-OFDM) systems. Using the sampled …
Two-timescale end-to-end learning for channel acquisition and hybrid precoding
In this paper, we propose an end-to-end deep learning-based joint transceiver design
algorithm for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) …
algorithm for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) …
Mixed-timescale deep-unfolding for joint channel estimation and hybrid beamforming
In massive multiple-input multiple-output (MIMO) systems, hybrid analog-digital
beamforming is an essential technique for exploiting the potential array gain without using a …
beamforming is an essential technique for exploiting the potential array gain without using a …