Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss
Transmit antenna muting (TAM) in multiple-user multiple-input multiple-output (MU-MIMO) networks allows reducing the power consumption of the base station (BS) by properly […]
Proactive Radar Protection System in Shared Spectrum via Forecasting Secondary User Power Levels
Spectrum sharing in radar bands with interference forecasting for enhanced radar protection can help design proactive resource allocation solutions which can achieve […]
Microphone Array Speech Separation Algorithm Based on TC-ResNet
Traditional separation methods have limited ability to handle the speech separation problem in high reverberant and low signal-to-noise ratio (SNR) environments, and […]
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks
Virtualized Radio Access Network (vRAN) is one of the key enablers of future wireless networks as it brings the agility to the […]
Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems
End-to-end learning of a communications system using the deep learning-based autoencoder concept has drawn interest in recent research due to its simplicity, […]
Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication
Vehicle-to-everything (V2X) communication is a growing area of communication with a variety of use cases. This paper investigates the problem of vehicle-cell […]