24 citations · 126 across the 34 of their papers we have counts for
5 papers · 1 filter
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches
Khai Nguyen Doan, Mojtaba Vaezi, Wonjae Shin +3
This work exploits the advantages of two prominent techniques in future communication networks, namely caching and non-orthogonal multiple access (NOMA). Particularly, a system wit…
Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel
Xinliang Zhang, Mojtaba Vaezi
A novel precoding method based on supervised deep neural networks is introduced for the multiple-input multiple-output Gaussian wiretap channel. The proposed deep learning (DL)-bas…
A Rotation-based Method for Precoding in Gaussian MIMOME Channels
Xinliang Zhang, Yue Qi, Mojtaba Vaezi
The problem of maximizing secrecy rate of multiple-input multiple-output multiple-eavesdropper (MIMOME) channels with arbitrary numbers of antennas at each node is studied in this…
Lens-based Millimeter Wave Reconfigurable Antenna NOMA
Mojtaba Ahmadi Almasi, Roohollah Amiri, Mojtaba Vaezi +1
This paper proposes a new multiple access technique based on the millimeter wave lens-based reconfigurable antenna systems. In particular, to support a large number of groups of us…
Interplay Between NOMA and Other Emerging Technologies: A Survey
Mojtaba Vaezi, Gayan Amarasuriya, Yuanwei Liu +3
Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to scale up the number of users, enhance the spectral efficiency, and improve the user fairness…