Beam alignment is an important task for millimeter-wave (mmWave)
communi...
Traditional communication system design has always been based on the par...
This paper proposes a deep learning framework to design distributed
comp...
This paper proposes a deep learning approach to a class of active sensin...
In this paper, we study the channel estimation problem in correlated mas...
This paper studies the device activity detection problem in a multi-cell...
This paper proposes a computationally efficient algorithm to solve the j...
This paper proposes a deep learning approach to the adaptive and sequent...
This paper proposes a deep learning approach to channel sensing and down...
This paper shows that deep neural network (DNN) can be used for efficien...
This paper considers the massive random access problem in which a large
...
This paper considers sparse device activity detection for cellular
machi...
This paper tackles the problem of millimeter-Wave (mmWave) channel estim...
The use of low-resolution digital-to-analog converters (DACs) for transm...
This paper considers the massive connectivity application in which a lar...