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Advanced deep learning models for 6G: overview, opportunities and challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
[HTML][HTML] Deep learning for channel estimation in physical layer wireless communications: Fundamental, methods, and challenges
C Lv, Z Luo - Electronics, 2023 - mdpi.com
With the rapid development of wireless communication technology, intelligent
communication has become one of the mainstream research directions after the fifth …
communication has become one of the mainstream research directions after the fifth …
A survey of federated learning for mmWave massive MIMO
VA Nugroho, BM Lee - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Millimeter-wave massive multi-input–multi-output (mmWave m-MIMO) holds immense
potential for beyond 5G networks, however its practical implementation faces hurdles in …
potential for beyond 5G networks, however its practical implementation faces hurdles in …
Ice-filling: Near-optimal channel estimation for dense array systems
By deploying a large number of antennas with sub-half-wavelength spacing in a compact
space, dense array systems (DASs) can fully unleash the multiplexing-and-diversity gains of …
space, dense array systems (DASs) can fully unleash the multiplexing-and-diversity gains of …
Power Optimization and Deep Learning for Channel Estimation of Active IRS-Aided IoT
Y Wang, R Dong, F Shu, W Gao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this article, channel estimation (CE) of an active intelligent reflecting surface (IRS) aided
uplink Internet of Things (IoT) network is investigated. First, the least square (LS) estimators …
uplink Internet of Things (IoT) network is investigated. First, the least square (LS) estimators …
A multi-fusion integrated end-to-end deep kernel CNN based channel estimation for hybrid range UM-MIMO 6G communication systems
In today's world, Terahertz Communication (THzCom) is envisioned as a highly promising
technology to characterize 6G wireless communication within the range from 0.1 to 10 THz …
technology to characterize 6G wireless communication within the range from 0.1 to 10 THz …
Deep optimized hybrid beamforming intelligent reflecting surface assisted UM-MIMO THz communication for 6G broad band connectivity
R Govindasamy, SK Nagarajan, JR Muthu… - Telecommunication …, 2024 - Springer
For 6G communications, the Ultra Massive Multiple Input Multiple Output (UM-MIMO)
systems with Intelligent Reflecting Surface (IRS) assistance are capable since they can …
systems with Intelligent Reflecting Surface (IRS) assistance are capable since they can …
Hybrid-field channel estimation for massive MIMO systems based on OMP cascaded convolutional autoencoder
Frequency scarcity implies the utilization of higher frequencies for wireless communications;
however, spreading loss becomes a dominating issue as the frequency increases to the …
however, spreading loss becomes a dominating issue as the frequency increases to the …
Hybrid Near-and Far-Field THz UM-MIMO Channel Estimation: A Sparsifying Matrix Learning-Aided Bayesian Approach
Channel estimation (CE) is a critical challenge in harnessing the potential of Terahertz (THz)
ultra-massive multiple-input multiple-output (UM-MIMO) systems. Sparsity-exploiting …
ultra-massive multiple-input multiple-output (UM-MIMO) systems. Sparsity-exploiting …
Trajectory design of UAV-aided energy-harvesting relay networks in the terahertz band
Unmanned aerial vehicle (UAV)-aided relaying benefits from easy deployment, strong
communication channels, and mobility compared with traditional ground relaying, thereby …
communication channels, and mobility compared with traditional ground relaying, thereby …