Minimization of the Worst-Case Average Energy Consumption in UAV-Assisted IoT Networks
The Internet of Things (IoT) brings connectivity to a massive number of devices that demand energy-efficient solutions to deal with limited battery […]
Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks
The distributed inference (DI) framework has gained traction as a technique for real-time applications empowered by cutting-edge deep machine learning (ML) on […]
Minimizing AoI in resource-constrained multi-source relaying systems with stochastic arrivals
We consider a multi-source relaying system where the sources independently and randomly generate status update packets which are sent to the destination […]
DQN-based Beamforming for Uplink mmWave Cellular-Connected UAVs
Unmanned aerial vehicles (UAVs) are the emerging vital components of millimeter wave (mmWave) wireless systems. Accurate beam alignment is essential for efficient […]
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation
Split-learning (SL) has recently gained popularity due to its inherent privacy-preserving capabilities and ability to enable collaborative inference for devices with limited […]
Enhanced piezoelectric performance of ceramic-polymer composite cantilevers with thin metal substrates
In this work the electromechanical properties of lead zirconate titanate-poly(vinylidenefluoride-trifluoroethylene) ceramic-polymer composite on thin brass and steel substrates were investigated. Samples were […]
Event-Driven Data Acquisition for Electricity Metering
This paper provides a tutorial on the most recent advances of event-driven metering (EDM) while indicating potential extensions to improve its performance. […]
Joint MDS Codes and Weighted Graph-Based Coded Caching in Fog Radio Access Networks
In this paper we investigate maximum-distance separable (MDS) codes and weighted graph based coded caching in fog radio access networks (F-RANs). In […]
Block-sparse signal recovery via general total variation regularized sparse Bayesian learning
One of the main challenges in block-sparse signal recovery as encountered in e.g. multi-antenna mmWave channel models is block-patterned estimation without knowledge […]
Stochastic Geometry Framework for THz Satellite-Airplane Network Analysis
The THz frequencies (0.1–10 THz) have shown great potential for long distance satellite communications in the recent research papers. This band offers […]