The field of integrated terrestrial and non-terrestrial networks is rapidly evolving, with a focus on seamless connectivity and efficient data management. Recent developments highlight the importance of semantic communication, federated learning, and edge computing in achieving these goals. Researchers are exploring innovative approaches, such as collaborative hierarchical federated learning frameworks and semantics-aware unified networks, to improve performance and reduce energy consumption. Noteworthy papers include SemSpaceFL, which proposes a novel hierarchical federated learning framework for LEO satellite networks, and Semantics-Aware Unified Terrestrial Non-Terrestrial 6G Networks, which investigates semantics-aware information handling for unified networks. These advancements have significant implications for various applications, including smart homes, electric vehicle charging, and space sustainability.
Advancements in Integrated Terrestrial and Non-Terrestrial Networks
Sources
SemSpaceFL: A Collaborative Hierarchical Federated Learning Framework for Semantic Communication in 6G LEO Satellites
LLM-Enabled EV Charging Stations Recommendation
Toward Onboard AI-Enabled Solutions to Space Object Detection for Space Sustainability
Semantics-Aware Unified Terrestrial Non-Terrestrial 6G Networks
Generating HomeAssistant Automations Using an LLM-based Chatbot
Impact of Transceiver Selection on Synchronization Accuracy in White Rabbit Networks
Computing in Integrated Terrestrial and Non-Terrestrial Networks: A Comprehensive Survey
Integrated Sensing, Computing, Communication, and Control for Time-Sequence-Based Semantic Communications
Satellite Autonomous Clock Fault Monitoring with Inter-Satellite Ranges Using Euclidean Distance Matrices
Coverage Biases in High-Resolution Satellite Imagery
Exploring Influence Factors on LLM Suitability for No-Code Development of End User IoT Applications
Impact of Weather on Satellite Communication: Evaluating Starlink Resilience
Temporal Spectrum Analysis for Multi-Constellation Space Domain Awareness