An overview of signal processing techniques for terahertz communications
H Sarieddeen, MS Alouini… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Terahertz (THz)-band communications are a key enabler for future-generation wireless
communication systems that promise to integrate a wide range of data-demanding …
communication systems that promise to integrate a wide range of data-demanding …
Intelligent multi-modal sensing-communication integration: Synesthesia of machines
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …
communications (ISAC) is recognized as a promising solution to upgrade the physical …
A survey on integrated sensing, communication, and computation
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
An adaptive and robust deep learning framework for THz ultra-massive MIMO channel estimation
Terahertz ultra-massive MIMO (THz UM-MIMO) is envisioned as one of the key enablers of
6G wireless networks, for which channel estimation is highly challenging. Traditional …
6G wireless networks, for which channel estimation is highly challenging. Traditional …
A comprehensive survey of 6G wireless communications
While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation
(6G) communications have attracted much attention from both the industry and the …
(6G) communications have attracted much attention from both the industry and the …
Model-driven deep learning for hybrid precoding in millimeter wave MU-MIMO system
The use of a hybrid analog-digital architecture that connects one RF chain to multiple
antennas through phase shifters is an energy-efficient solution for multiuser multiple-input …
antennas through phase shifters is an energy-efficient solution for multiuser multiple-input …
Simplified learned approximate message passing network for beamspace channel estimation in mmWave massive MIMO systems
Millimeter-wave (mmWave) communication using lens antenna array has emerged as a
promising techique for the next generation wireless communication systems, which has the …
promising techique for the next generation wireless communication systems, which has the …
Deep learning-based channel estimation for wideband hybrid mmWave massive MIMO
Hybrid analog-digital (HAD) architecture is widely adopted in practical millimeter wave
(mmWave) massive multiple-input multiple-output (MIMO) systems to reduce hardware cost …
(mmWave) massive multiple-input multiple-output (MIMO) systems to reduce hardware cost …
Message passing meets graph neural networks: A new paradigm for massive MIMO systems
As one of the core technologies for 5G systems, massive multiple-input multiple-output
(MIMO) introduces dramatic capacity improvements along with very high beamforming and …
(MIMO) introduces dramatic capacity improvements along with very high beamforming and …
Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO
Holographic MIMO (HMIMO) is being increasingly recognized as a key enabling technology
for 6G wireless systems through the deployment of an extremely large number of antennas …
for 6G wireless systems through the deployment of an extremely large number of antennas …