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 …
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 …
A survey of machine learning applications to handover management in 5G and beyond
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …
networks that need to be properly managed since it poses multiple threats to quality-of …
Computer vision aided mmWave beam alignment in V2X communications
Visual information, captured for example by cameras, can effectively reflect the sizes and
locations of the environmental scattering objects, and thereby can be used to infer …
locations of the environmental scattering objects, and thereby can be used to infer …
Flash: Federated learning for automated selection of high-band mmwave sectors
Fast sector-steering in the mmWave band for vehicular mobility scenarios remains an open
challenge. This is because standard-defined exhaustive search over predefined antenna …
challenge. This is because standard-defined exhaustive search over predefined antenna …
A review of deep learning in 5G research: Channel coding, massive MIMO, multiple access, resource allocation, and network security
A Ly, YD Yao - IEEE Open Journal of the Communications …, 2021 - ieeexplore.ieee.org
The current development of 5G technology is flourishing with widespread deployment
across the world at a rapid pace. However, there is still a demand concerning 5G research …
across the world at a rapid pace. However, there is still a demand concerning 5G research …
Deep learning on multimodal sensor data at the wireless edge for vehicular network
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as
an exhaustive search among all candidate beam pairs cannot be assuredly completed …
an exhaustive search among all candidate beam pairs cannot be assuredly completed …
Intelligent massive MIMO systems for beyond 5G networks: An overview and future trends
Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …
potential of challenging large-scale problems in conventional massive multiple-input …
Toward intelligent millimeter and terahertz communication for 6G: Computer vision-aided beamforming
Beamforming technique realized by the multipleinput-multiple-output (MIMO) antenna arrays
has been widely used to compensate for the severe path loss in the millimeter wave …
has been widely used to compensate for the severe path loss in the millimeter wave …
Deep unsupervised learning for joint antenna selection and hybrid beamforming
In this paper, we propose a novel deep unsupervised learning-based approach that jointly
optimizes antenna selection and hybrid beamforming to improve the hardware and spectral …
optimizes antenna selection and hybrid beamforming to improve the hardware and spectral …