An overview of signal processing techniques for joint communication and radar sensing
Joint communication and radar sensing (JCR) represents an emerging research field aiming
to integrate the above two functionalities into a single system, by sharing the majority of …
to integrate the above two functionalities into a single system, by sharing the majority of …
Enabling joint communication and radar sensing in mobile networks—A survey
Mobile network is evolving from a communication-only network towards one with joint
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …
Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …
A tutorial on beam management for 3GPP NR at mmWave frequencies
The millimeter wave (mmWave) frequencies offer the availability of huge bandwidths to
provide unprecedented data rates to next-generation cellular mobile terminals. However …
provide unprecedented data rates to next-generation cellular mobile terminals. However …
Deep learning for wireless physical layer: Opportunities and challenges
Machine learning (ML) has been widely applied to the upper layers of wireless
communication systems for various purposes, such as deployment of cognitive radio and …
communication systems for various purposes, such as deployment of cognitive radio and …
Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels
M Alrabeiah, A Alkhateeb - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Predicting the millimeter wave (mmWave) beams and blockages using sub-6 GHz channels
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
Terahertz communications for 6G and beyond wireless networks: Challenges, key advancements, and opportunities
The unprecedented increase in wireless data traffic, predicted to occur within the next
decade, is motivating academia and industries to look beyond contemporary wireless …
decade, is motivating academia and industries to look beyond contemporary wireless …
Millimeter-wave communication for internet of vehicles: status, challenges, and perspectives
KZ Ghafoor, L Kong, S Zeadally… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles has attracted a lot of attention in the automotive industry and
academia recently. We are witnessing rapid advances in vehicular technologies that …
academia recently. We are witnessing rapid advances in vehicular technologies that …
5G MIMO data for machine learning: Application to beam-selection using deep learning
The increasing complexity of configuring cellular networks suggests that machine learning
(ML) can effectively improve 5G technologies. Deep learning has proven successful in ML …
(ML) can effectively improve 5G technologies. Deep learning has proven successful in ML …
Low earth orbit satellite security and reliability: Issues, solutions, and the road ahead
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-
increasing user demands, reduced costs, and technological progress. Since there is a lack …
increasing user demands, reduced costs, and technological progress. Since there is a lack …