274 citations · 649 across the 26 of their papers we have counts for
3 papers · 1 filter
Energy-Efficient D2D-Aided Fog Computing under Probabilistic Time Constraints
Onur Karatalay, Ioannis Psaromiligkos, Benoit Champagne
Device-to-device (D2D) communication is an enabling technology for fog computing by allowing the sharing of computation resources between mobile devices. However, temperature varia…
Deep-Unfolding Neural-Network Aided Hybrid Beamforming Based on Symbol-Error Probability Minimization
S. Shi, Y. Cai, Q. Hu +2
In massive multiple-input multiple-output (MIMO) systems, hybrid analog-digital (AD) beamforming can be used to attain a high directional gain without requiring a dedicated radio f…
Deep Learning Framework for Hybrid Analog-Digital Signal Processing in mmWave Massive-MIMO Systems
Alireza Morsali, Afshin Haghighat, Benoit Champagne
Hybrid analog-digital signal processing (HSP) is an enabling technology to harvest the potential of millimeter-wave (mmWave) massive-MIMO communications. In this paper, we present…