Generative adversarial estimation of channel covariance in vehicular millimeter wave systems
X Li, A Alkhateeb… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
Enabling highly-mobile millimeter wave (mmWave) systems is challenging because of the
huge training overhead associated with acquiring the channel knowledge or designing the …
huge training overhead associated with acquiring the channel knowledge or designing the …
Deep regularized waveform learning for beam prediction with limited samples in non-cooperative mmWave systems
Millimeter wave (mmWave) systems need beam management to establish and maintain
reliable links. This complex and time-consuming process seriously affects communication …
reliable links. This complex and time-consuming process seriously affects communication …
MmWave beam prediction with situational awareness: A machine learning approach
Y Wang, M Narasimha… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
Millimeter-wave communication is a challenge in the highly mobile vehicular context.
Traditional beam training is inadequate in satisfying low overheads and latency. In this …
Traditional beam training is inadequate in satisfying low overheads and latency. In this …
Intelligent beam training for millimeter-wave communications via deep reinforcement learning
Millimeter wave (mmwave) communication has attracted increasing attention owing to its
abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting …
abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting …
Millimeter wave base stations with cameras: Vision-aided beam and blockage prediction
M Alrabeiah, A Hredzak… - 2020 IEEE 91st vehicular …, 2020 - ieeexplore.ieee.org
This paper investigates a novel research direction that leverages vision to help overcome
the critical wireless communication challenges. In particular, this paper considers millimeter …
the critical wireless communication challenges. In particular, this paper considers millimeter …
BsNet: A deep learning-based beam selection method for mmWave communications
CH Lin, WC Kao, SQ Zhan… - 2019 IEEE 90th Vehicular …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) techniques have attracted much attention in recent years owing
to features such as substantial bandwidth for communication, and it has applications in radar …
to features such as substantial bandwidth for communication, and it has applications in radar …
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 …
Federated channel-beam mapping: from sub-6ghz to mmwave
Accurate beamforming is a critical challenge for mmWave communications. Because of the
large training overhead of beam training at high frequencies, it becomes relevant to exploit …
large training overhead of beam training at high frequencies, it becomes relevant to exploit …
Deep learning assisted beam prediction using out-of-band information
K Ma, P Zhao - 2020 IEEE 91st Vehicular Technology …, 2020 - ieeexplore.ieee.org
The low-frequency and mmWave links usually co-exist in the next generation wireless
terminals, where the low-frequency link is always on and the mmWave link becomes active …
terminals, where the low-frequency link is always on and the mmWave link becomes active …
Deep learning-based beam alignment in mmwave vehicular networks
Millimeter wave channels exhibit structure that allows beam alignment with fewer channel
measurements than exhaustive beam search. From a compressed sensing (CS) …
measurements than exhaustive beam search. From a compressed sensing (CS) …