Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
This paper aims to integrate two synergetic technologies, federated learning (FL) and width-adjustable slimmable neural network (SNN) architectures. FL preserves data privacy […]
Cell-Free mmWave Massive MIMO Systems With Low-Capacity Fronthaul Links and Low-Resolution ADC/DACs
In this paper we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input […]
Situational Awareness for Autonomous Ships in the Arctic
The maritime autonomous surface ship (MASS) promises a revolution in naval logistics by offering sustainability safety and operational costs reduction. The MASS […]
4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities
Micro-expressions (ME) are a special form of facial expressions which may occur when people try to hide their true feelings for some […]
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks. In this regard the Wake-up Signal (WuS) technology which […]
Damping oscillations in a wire bending process
This paper presents an approach to modify CAD/CAM generated motion profiles for wire bending machines in order to damp wire oscillations without […]
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs
In virtualized radio access network (vRAN) the base station (BS) functions are decomposed into virtualized components that can be hosted at the […]
Joint Sum Rate and Blocklength Optimization in RIS-aided Short Packet URLLC Systems
In this paper a multi-objective optimization problem (MOOP) is proposed for maximizing the achievable finite blocklength (FBL) rate while minimizing the utilized […]
Deep Learning Based Over-the-Air Channel Estimation Using a ZYNQ SDR Platform
Deep learning based channel estimation techniques have recently found an overwhelming interest owing to data-driven learning-based adaptability compared to conventional estimation techniques […]
Beamforming Feedback-Based Model-Driven Angle of Departure Estimation Toward Legacy Support in WiFi Sensing
In this study we experimentally validated the possibility of estimating the angle of departure (AoD) using multiple signal classification (MUSIC) with only […]