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A survey of blockchain and artificial intelligence for 6G wireless communications
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 …
future mobile communication networks has been officially launched around the world. 6G …
Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey
Wireless networks are a key component of the telecommunications infrastructure in our
society, and wireless services become increasingly important as the applications of wireless …
society, and wireless services become increasingly important as the applications of wireless …
Overview of deep learning-based CSI feedback in massive MIMO systems
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) …
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
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 …
position in providing Internet access thanks to their freedom of deployment and configuration …
Deep learning-based implicit CSI feedback in massive MIMO
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 …
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
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 …
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
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 …
two techniques have been intensively studied in cellular networks, their joint optimization in …
WHACK: Adversarial Beamforming in MU-MIMO Through Compressed Feedback Poisoning
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 …
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
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 …
(MIMO) to significantly improve throughput. To correctly beamform MIMO transmissions, the …
Maloragw: Multi-user mimo transmission for lora
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 …
geographically-distributed IoT devices with low-rate, long-range connections. In this paper …