Efficient and secure federated dynamic spectrum access for LEO satellite Internet-of-Things

• المؤلفون الرئيسيون: Shen, Bowen, Goh, Si Qi, Lam, Kwok-Yan, Li, Feng
• مؤلفون آخرون: College of Computing and Data Science
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2025
• الموضوعات: Engineering; Satellite communications; Spectrum allocation; Federated learning; Deep reinforcement learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/183695

The explosive growth in demand for Internet of Things (IoT) and significant satellite-to-ground latency have anticipated the transition from 5G to 6G communication. Thus, LEO satellites became a crucial element to the terrestrial network due to their ability to achieve seamless and energy-efficient...