Near-field sparse channel representation and estimation in 6G wireless communications

X Zhang, H Zhang, YC Eldar - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The employment of extremely large antenna arrays and high-frequency signaling makes
future 6G wireless communications likely to operate in the near-field region. In this case, the …

Performance bounds for near-field localization with widely-spaced multi-subarray mmWave/THz MIMO

S Yang, X Chen, Y Xiu, W Lyu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper investigates the potential of near-field localization using widely-spaced multi-
subarrays (WSMSs) and analyzing the corresponding angle and range Cramér-Rao bounds …

Parametric channel estimation with short pilots in RIS-assisted near-and far-field communications

M Haghshenas, P Ramezani… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Considering the dimensionality of a typical reconfigurable intelligent surface (RIS), channel
state information acquisition in RIS-assisted systems requires lengthy pilot transmissions …

Parametric sparse channel estimation for RIS-assisted terahertz systems

J Wu, S Kim, B Shim - IEEE Transactions on Communications, 2023 - ieeexplore.ieee.org
To support extremely high data rates in 6G wireless networks, reconfigurable intelligent
surface (RIS)-assisted terahertz (THz) communications have gained much attention in recent …

Performance analysis of channel estimation techniques for IRS assisted MIMO

AE Baye - Scientific Reports, 2023 - nature.com
The need for low latency and high data rates is increasing rapidly since the advent of
wireless communication. The current fifth-generation (5G) networks are unable to fulfill the …

Efficient sparse Bayesian channel estimation for near-field ultra-scale massive MIMO systems

J Cao, J Du, M Han, J Liu, X Li… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
In this letter, we propose an efficient off-grid sparse Bayesian learning (SBL) algorithm to
estimate the near-field (NF) channel in ultra-scale massive multiple-input multiple-output …

Multi-Task Learning for Near/Far Field Channel Estimation in STAR-RIS Networks

J Xiao, J Wang, Z Wang, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A joint cascaded channel estimation scheme is proposed for simultaneously transmitting
and reflecting reconfigurable intelligent surface (STAR-RIS) systems with hardware …

Deep Learning-aided Parametric Sparse Channel Estimation for Terahertz Massive MIMO Systems

J Kim, Y Ahn, S Kim, B Shim - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
Terahertz (THz) communications is considered as one of key solutions to support extremely
high data demand in 6G. One main difficulty of the THz communication is the severe signal …

Transformer-Based Channel Parameter Acquisition for Terahertz Ultra-Massive MIMO Systems

S Kim, A Lee, H Ju, KA Ngo, J Moon… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Terahertz (THz) ultra-massive multiple-input multiple-output (UM-MIMO) is envisioned as a
key technology to support ever-increasing data rates in 6G communication systems. To …

Low complexity hybrid-field channel estimation based on simultaneous weighted OMP algorithm in Extreme Large-scale MIMO systems

H Huang, J Zhang, J Jiang - IEEE Access, 2024 - ieeexplore.ieee.org
Extreme large-scale multiple-input multiple-output (XL-MIMO) is one of the key technologies
for future 6G communications. Channel estimation plays a crucial role in XL-MIMO systems …