… 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 …

… 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 …

… channel statistical characteristics based on a specified CNN for 3D mmWave MIMO indoor
channels … CNN can predict eleven comprehensive channel statistical characteristics, including …

… 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…

… 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 …

… 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], …

… 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 …

… 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 …

… 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 …

… consuming process for millimeter wave (mmWave) systems, … ment method that is assisted
by machine learning (ML), where … A narrowband block-fading MISO mmWave channel model …