Big AI models for 6G wireless networks: Opportunities, challenges, and research directions
Recently, big artificial intelligence models (BAIMs) represented by chatGPT have brought an
incredible revolution. With the pre-trained BAIMs in certain fields, numerous downstream …
incredible revolution. With the pre-trained BAIMs in certain fields, numerous downstream …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
DeepSense 6G: A large-scale real-world multi-modal sensing and communication dataset
This article presents the DeepSense 6G data-set, which is a large-scale dataset based on
real-world measurements of co-existing multi-modal sensing and communication data. The …
real-world measurements of co-existing multi-modal sensing and communication data. The …
Enabling large intelligent surfaces with compressive sensing and deep learning
Employing large intelligent surfaces (LISs) is a promising solution for improving the
coverage and rate of future wireless systems. These surfaces comprise massive numbers of …
coverage and rate of future wireless systems. These surfaces comprise massive numbers of …
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) …
Millimeter wave fmcw radars for perception, recognition and localization in automotive applications: A survey
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …
sensors based on frequency-modulated electromagnetic which see their environment in 3D …
Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels
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 …
Machine learning in the air
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …
learning (ML) is penetrating every facet of our lives, and transforming research in many …
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 tutorial on nyusim: Sub-terahertz and millimeter-wave channel simulator for 5G, 6G and beyond
With the advancement of wireless communication to sub-terahertz (THz) and millimeter-
wave (mmWave) bands, accurate channel models and simulation tools are becoming …
wave (mmWave) bands, accurate channel models and simulation tools are becoming …