Millimeter-wave wireless communications for IoT-cloud supported autonomous vehicles: Overview, design, and challenges
Autonomous vehicles are a rising technology in the near future to provide a safe and
efficient transportation experience. Vehicular communication systems are indispensable …
efficient transportation experience. Vehicular communication systems are indispensable …
A flexible machine-learning-aware architecture for future WLANs
F Wilhelmi, S Barrachina-Muñoz… - IEEE …, 2020 - ieeexplore.ieee.org
Lots of hopes have been placed on machine learning (ML) as a key enabler of future
wireless networks. By taking advantage of large volumes of data, ML is expected to deal with …
wireless networks. By taking advantage of large volumes of data, ML is expected to deal with …
Federated mmWave beam selection utilizing LIDAR data
Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial
yet challenging task due to the overhead imposed by beam selection. For vehicle-to …
yet challenging task due to the overhead imposed by beam selection. For vehicle-to …
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 …
Lumos5G: Mapping and predicting commercial mmWave 5G throughput
The emerging 5G services offer numerous new opportunities for networked applications. In
this study, we seek to answer two key questions: i) is the throughput of mmWave 5G …
this study, we seek to answer two key questions: i) is the throughput of mmWave 5G …
Usage of network simulators in machine-learning-assisted 5G/6G networks
Without any doubt, Machine Learning (ML) will be an important driver of future
communications due to its foreseen performance when applied to complex problems …
communications due to its foreseen performance when applied to complex problems …
Beam alignment for millimetre wave links with motion prediction of autonomous vehicles
Intelligent Transportation Systems (ITSs) require ultra-low end-to-end delays and multi-
gigabit-per-second data transmission. Millimetre Waves (mmWaves) communications can …
gigabit-per-second data transmission. Millimetre Waves (mmWaves) communications can …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
Deep learning coordinated beamforming for highly-mobile millimeter wave systems
A Alkhateeb, S Alex, P Varkey, Y Li, Q Qu… - IEEE …, 2018 - ieeexplore.ieee.org
Supporting high mobility in millimeter wave (mmWave) systems enables a wide range of
important applications, such as vehicular communications and wireless virtual/augmented …
important applications, such as vehicular communications and wireless virtual/augmented …
Design and implementation for deep learning based adjustable beamforming training for millimeter wave communication systems
Millimeter wave (mmWave) provides extremely high throughput owing to their high
bandwidth utilization over higher frequencies. To compensate for the severe loss and …
bandwidth utilization over higher frequencies. To compensate for the severe loss and …