2 citations · 4 across the 3 of their papers we have counts for
3 papers
Deep Reinforcement Learning in mmW-NOMA: Joint Power Allocation and Hybrid Beamforming
Abbas Akbarpour-Kasgari, Mehrdad Ardebilipour
High demand of data rate in the next generation of wireless communication could be ensured by Non-Orthogonal Multiple Access (NOMA) approach in the millimetre-wave (mmW) frequency…
Joint Power Allocation and Beamformer for mmW-NOMA Downlink Systems by Deep Reinforcement Learning
Abbas Akbarpour-Kasgari, Mehrdad Ardebilipour
The high demand for data rate in the next generation of wireless communication could be ensured by Non-Orthogonal Multiple Access (NOMA) approach in the millimetre-wave (mmW) frequ…
Robust Cooperative Relay Beamforming
Behrad Mahboobi, Mehrdad Ardebilipour, Ashkan Kalantari +1
In this paper, the robust distributed relay beamforming problem is solved using the worst case approach, where the problem solution has been involved because of the effect of uncer…