Map-based millimeter-wave channel models: An overview, data for B5G evaluation and machine learning
… mm-Wave channel models. The motivation for it lies in the fact that researchers have paid
attention to designing a map-based mm-Wave channel … be utilized in the mm-Wave range. The …
attention to designing a map-based mm-Wave channel … be utilized in the mm-Wave range. The …
Machine learning based mmWave channel tracking in vehicular scenario
… In this paper, we study the mmWave channel tracking in a … machine learning approach to
reduce the training overhead while maintain the tracking accuracy. Once the machine learning …
reduce the training overhead while maintain the tracking accuracy. Once the machine learning …
Predicting wireless mmWave massive MIMO channel characteristics using machine learning algorithms
… channel statistical characteristics based on a specified CNN for 3D mmWave MIMO indoor
channels … CNN can predict eleven comprehensive channel statistical characteristics, including …
channels … CNN can predict eleven comprehensive channel statistical characteristics, including …
Acquisition of channel state information for mmWave massive MIMO: Traditional and machine learning-based approaches
… beam training and channel estimation for mmWave massive … -dimension channel matrix,
while the channel estimation can … In addition to introducing the traditional and machine learning…
while the channel estimation can … In addition to introducing the traditional and machine learning…
Machine-learning-based 3-D channel modeling for U2V mmWave communications
… of channel model is restricted. On the other hand, RT is an efficient method for mmWave
channel modeling since the mmWave … UAV mmWave channel models and analyzed the channel …
channel modeling since the mmWave … UAV mmWave channel models and analyzed the channel …
Machine learning assisted adaptive index modulation for mmWave communications
… mmWave channels are in general wideband channels, owing to the fact that high bandwidth
is usually used for attaining high data rate [12], [17]. According to the 5G New Radio [18], …
is usually used for attaining high data rate [12], [17]. According to the 5G New Radio [18], …
Machine learning based mm-wave 60 GHz channel modeling for 5G wireless communication systems
Y Wen, W Hu, S Geng, X Zhao - 2019 IEEE 5th International …, 2019 - ieeexplore.ieee.org
… , channel parameters liNe path loss and delay spread are investigated by machine learning
methods, namely support vector machine (… with traditional machine learning method of bacN …
methods, namely support vector machine (… with traditional machine learning method of bacN …
Predictive wireless channel modeling of mmwave bands using machine learning
… MmWave bands. Future work should indicate further comparison of other AI techniques and
explore other wireless channel … we can conclude that applying machine learning to assist the …
explore other wireless channel … we can conclude that applying machine learning to assist the …
Machine learning for beam alignment in millimeter wave massive MIMO
… During the online deployment of the NN, we obtain the real measured r from practical
mmWave channel environments, which is then input to the offline-trained NN. The prediction of q …
mmWave channel environments, which is then input to the offline-trained NN. The prediction of q …
Machine learning for reliable mmwave systems: Blockage prediction and proactive handoff
A Alkhateeb, I Beltagy, S Alex - 2018 IEEE Global conference …, 2018 - ieeexplore.ieee.org
… We adopt a wideband geometric mmWave channel model [4] with L clusters. Each cluster l,
l = 1, ..., L is … With this model, the delay-d channel between the user and the nth BS follows …
l = 1, ..., L is … With this model, the delay-d channel between the user and the nth BS follows …
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