Near and far field model mismatch: Implications on 6G communications, localization, and sensing
The upcoming 6G technology is expected to operate in near-field (NF) radiating conditions
thanks to high-frequency and electrically large antenna arrays. Although several studies …
thanks to high-frequency and electrically large antenna arrays. Although several studies …
Accelerating Iteratively Linear Detectors in Multi-User (ELAA-) MIMO Systems with UW-SVD
Current iterative multiple-input multiple-output (MIMO) detectors suffer from slow
convergence when the wireless channel is ill-conditioned. The ill-conditioning is mainly …
convergence when the wireless channel is ill-conditioned. The ill-conditioning is mainly …
Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP
We investigate a joint visibility region (VR) detection and channel estimation problem in
extremely large-scale multiple-input-multiple-output (XL-MIMO) systems, where near-field …
extremely large-scale multiple-input-multiple-output (XL-MIMO) systems, where near-field …
On Chernoff Lower-Bound of Outage Threshold for Non-Central χ2-Distributed Beamforming Gain in URLLC Systems
The cumulative distribution function (CDF) of a non-central χ 2-distributed random variable
(RV) is often used when measuring the outage probability of communication systems. For …
(RV) is often used when measuring the outage probability of communication systems. For …
Spatially Non-Stationary XL-MIMO Channel Estimation: A Three-Layer Generalized Approximate Message Passing Method
In this paper, the channel estimation problem for extremely large-scale multi-input multi-
output (XL-MIMO) systems is investigated with the considerations of near-field (NF) spherical …
output (XL-MIMO) systems is investigated with the considerations of near-field (NF) spherical …
Federated learning based modulation classification for multipath channels
S Bhardwaj, DH Kim, DS Kim - Parallel Computing, 2024 - Elsevier
Deep learning (DL)-based automatic modulation classification (AMC) is a primary research
field for identifying modulation types. However, traditional DL-based AMC approaches rely …
field for identifying modulation types. However, traditional DL-based AMC approaches rely …
Iterative Inversion of (ELAA-)MIMO Channels Using Symmetric Rank- Regularization
While iterative matrix inversion methods excel in computational efficiency, memory
optimization, and support for parallel and distributed computing when managing large …
optimization, and support for parallel and distributed computing when managing large …
Fast Iterative ELAA-MIMO Detection Exploiting Static Channel Components
Extremely large aperture array (ELAA) is a promising multiple-input multiple-output (MIMO)
technique for next generation mobile networks. In this paper, we propose two novel …
technique for next generation mobile networks. In this paper, we propose two novel …
Near-Field Fading Channel Modeling for ELAAs: From Communication to ISAC
Extremely large aperture array (ELAA) is anticipated to serve as a pivotal feature of future
multiple-input multiple-output (MIMO) systems in 6G. Near-field (NF) fading channel models …
multiple-input multiple-output (MIMO) systems in 6G. Near-field (NF) fading channel models …
Wi-Fi Beyond Communications: Experimental Evaluation of Respiration Monitoring and Motion Detection Using COTS Devices
Wi-Fi sensing has become an attractive option for non-invasive monitoring of human
activities and vital signs. This paper explores the feasibility of using state-of-the-art …
activities and vital signs. This paper explores the feasibility of using state-of-the-art …