Semantic and Logical Communication-Control Co-Design for Correlated Dynamical Systems
In this study, we delve into the intricacies of semantic communication-control co-design (CoCoCo) for wireless mixed logical dynamical (MLD) systems operating under […]
Coordinated Pilot Transmissions for Detecting the Signal Sparsity Level in Massive IoT Networks
Grant-free protocols exploiting compressed sensing multi-user detection (MUD) are appealing for solving the random access problem in massive Internet of Things (IoT) […]
Cascaded and Generalizable Neural Radiance Fields for Fast View Synthesis
We present CG-NeRF, a cascade and generalizable neural radiance fields method for view synthesis. Recent generalizing view synthesis methods can render high-quality […]
Statistical Tools and Methodologies for Ultrareliable Low-Latency Communication – A Tutorial
Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth generation (5G) and beyond cellular networks. Notably, designing and supporting […]
Revealing complexities when adult readers engage in the credibility evaluation of social media posts
The internet, including social networking sites, has become a major source of health information for laypersons. Yet, the internet has also become […]
Joint Service Migration and Resource Allocation in Edge IoT System Based on Deep Reinforcement Learning
Multi-access Edge Computing (MEC) provides services for resource-sensitive and delay-sensitive Internet of Things (IoT) applications by extending the capabilities of cloud computing […]
Development of a wearable resonator mask for breathing rate monitoring
As one of the processes of patient care, diagnosis, and monitoring are the most important steps in the medical field. Sleep apnea […]
Regulatory challenges and implications of the European electronic communications code (EECC) for local mobile communication network business
Regulatory provisions pose legal constraints on deploying mobile communication networks and related services. Local 5G and upcoming 6G networks, particularly those that […]
Theory for anisotropic local ferroelectric switching
Theoretical modeling of polarization switching around a biased tip contact is important for fundamental understanding and advanced applications of ferroelectrics. Here we […]
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Over the past few years, significant advancements have been made in the field of machine learning (ML) to address resource management, interference […]