Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G

W Kim, Y Ahn, J Kim, B Shim - Journal of Communications and …, 2023 - ieeexplore.ieee.org
Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great
promise in various disciplines such as image classification and segmentation, speech …

Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

C Chen, H Zhang, J Hou, Y Zhang, H Zhang, J Dai… - Biomimetics, 2023 - mdpi.com
With the rapid development of enabling technologies like VR and AR, we human beings are
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …

Energy-efficient user association in mmWave/THz ultra-dense network via multi-agent deep reinforcement learning

J Moon, S Kim, H Ju, B Shim - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
As a key enabler for 5G and 6G wireless communications, millimeter-wave (mmWave) and
terahertz (THz) ultra-dense network (UDN) has received a great deal of attention recently …

Applications of Deep Reinforcement Learning in Wireless Networks-A Recent Review

A Archi, HA Saadi, S Mekaoui - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) techniques have gained substantial attention in recent
years for future wireless networks. They can overcome the ever-increasing challenges of …

Sensing and Computer Vision-Aided Mobility Management for 6G Millimeter and Terahertz Communication Systems

Y Ahn, J Kim, S Kim, S Kim… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Millimeter wave (mmWave) and terahertz (THz) communications have been considered as
the key techniques to support extremely high data rates in the 6G system. One main …

Intelligent near-field channel estimation for terahertz ultra-massive MIMO systems

A Lee, H Ju, S Kim, B Shim - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
The terahertz (THz) communication systems as-sisted by ultra-massive (UM) number of
antennas have been considered as a promising solution for future 6G wireless …

Optimizing Resource Allocation in UAV-assisted Ultra-Dense Networks for Enhanced Performance and Security

PG Ye, J Zheng, X Ren, J Huang, Z Zhang, Y Pang… - Information …, 2024 - Elsevier
The deployment of unmanned aerial vehicles (UAVs) in ultra-dense networks (UNDs) has
significantly advanced network capabilities in 5G/6G environments, addressing coverage …

Multi-armed bandit learning on a graph

T Zhang, K Johansson, N Li - 2023 57th Annual Conference on …, 2023 - ieeexplore.ieee.org
The multi-armed bandit (MAB) problem is a simple yet powerful framework that has been
extensively studied in the context of decision-making under uncertainty. In many real-world …

Joint Uplink and Downlink Robust Transmission for Cell-Free Networks

G Zhang, Y Lu, M Li, Z Zhong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper investigates the joint uplink (UL) and downlink (DL) robust transmission design
for cell-free networks. The total data amount of the UL and DL transmissions is maximized in …

Cooperative Beamforming for Double-RIS Assisted CoMP Systems

J Chen, Y Sun, J Jia, B Yin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Energy efficiency (EE) has become a key performance indicator in designing future wireless
networks. In this regard, we propose a novel two reconfigurable intelligent surfaces (RISs) …