A survey of blockchain and artificial intelligence for 6G wireless communications

Y Zuo, J Guo, N Gao, Y Zhu, S **… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The research on the sixth-generation (6G) wireless communications for the development of
future mobile communication networks has been officially launched around the world. 6G …

Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey

H Pirayesh, H Zeng - IEEE communications surveys & tutorials, 2022 - ieeexplore.ieee.org
Wireless networks are a key component of the telecommunications infrastructure in our
society, and wireless services become increasingly important as the applications of wireless …

Overview of deep learning-based CSI feedback in massive MIMO systems

J Guo, CK Wen, S **, GY Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

Deep learning-based implicit CSI feedback in massive MIMO

M Chen, J Guo, CK Wen, S **, GY Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Massive multiple-input multiple-output can obtain more performance gain by exploiting the
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …

CAnet: Uplink-aided downlink channel acquisition in FDD massive MIMO using deep learning

J Guo, CK Wen, S ** - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
In frequency-division duplexing systems, the downlink channel state information (CSI)
acquisition scheme leads to high training and feedback overhead. In this work, we propose …

DeepMux: Deep-learning-based channel sounding and resource allocation for IEEE 802.11 ax

PK Sangdeh, H Zeng - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
MU-MIMO and OFDMA are two key techniques in IEEE 802.11 ax standard. Although these
two techniques have been intensively studied in cellular networks, their joint optimization in …

WHACK: Adversarial Beamforming in MU-MIMO Through Compressed Feedback Poisoning

F Meneghello, F Restuccia… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-user MIMO is a key component of modern wireless networks. As such, investigating the
related security weaknesses is a compelling necessity. A major issue unveiled by existing …

SplitBeam: Effective and efficient beamforming in Wi-Fi networks through split computing

N Bahadori, Y Matsubara, M Levorato… - 2023 IEEE 43rd …, 2023 - ieeexplore.ieee.org
Modern IEEE 802.11 (Wi-Fi) networks extensively rely on multiple-input multiple-output
(MIMO) to significantly improve throughput. To correctly beamform MIMO transmissions, the …

Maloragw: Multi-user mimo transmission for lora

H Pirayesh, S Zhang, PK Sangdeh… - Proceedings of the 20th …, 2022 - dl.acm.org
LoRa has emerged as a key wireless communication technology for a gateway to provide
geographically-distributed IoT devices with low-rate, long-range connections. In this paper …