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07/05/2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
By exploiting the computing power and local data of distributed clients,...
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02/28/2020
Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration
This paper studies fast downlink beamforming algorithms using deep learn...
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01/15/2020
Model-Driven Beamforming Neural Networks
Beamforming is evidently a core technology in recent generations of mobi...
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01/02/2019
A Deep Learning Framework for Optimization of MISO Downlink Beamforming
Beamforming is an effective means to improve the quality of the received...
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08/10/2018
Power Minimization Based Joint Task Scheduling and Resource Allocation in Downlink C-RAN
In this paper, we consider the network power minimization problem in a d...
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07/26/2018