Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
The age of information (AoI) is used to measure the freshness of the data. In IoT networks, the traditional resource management schemes […]
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 […]
Magnetic‐Responsive Carbon Nanotubes Composite Scaffolds for Chondrogenic Tissue Engineering
The demand for engineered scaffolds capable of delivering multiple cues to cells continues to grow as the interplay between cell fate with […]
Joint Content Update and Transmission Resource Allocation for Energy-Efficient Edge Caching of High Definition Map
Caching the high definition map (HDM) on the edge network can significantly alleviate energy consumption of the roadside sensors frequently conducting the […]
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 […]
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and […]
CDDNet: Camouflaged Defect Detection Network for Steel Surface
Accurate low-contrast defect detection has become a common bottleneck to further improve the performance of automated visual inspection (AVI) instruments. Inspired by […]
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 […]