In this work, we study a multi-user NTN in which a satellite serves as the primary network and a high-altitude platform station (HAPS) operates as the secondary network, acting as a cognitive radio. To reduce the cost, complexity, and power consumption of conventional antenna arrays, we equip the HAPS with a transmissive BD-RIS antenna front end. We then formulate a joint optimization problem for the BD-RIS phase response and the HAPS transmit power allocation under strict per-user interference temperature constraints. To tackle the resulting highly nonconvex problem, we propose an alternating-optimization framework: the power-allocation subproblem admits a closed-form, water-filling-type solution derived from the Karush-Kuhn-Tucker (KKT) conditions, while the BD-RIS configuration is refined via Riemannian manifold optimization. Simulation results show significant gains in data rate and interference suppression over diagonal RIS-assisted benchmarks, establishing BD-RIS as a promising enabler for future multilayer NTNs.
Active RIS-Empowered Covert Satellite-Terrestrial Communications
College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University(吉林大学计算机科学与技术学院、教育部符号计算与知识工程重点实验室);Auburn University(奥本大学);School of Electrical and Computer Engineering, University of Sydney(悉尼大学电气与计算机工程学院);Graduate School of Information Sciences, Tohoku University(东北大学情报科学研究院)
Joint Visibility Analysis of RIS in Non-Terrestrial Networks through Stochastic Geometry
IMT-Télécom Paris, Institut Polytechnic de Paris(IMT-电信巴黎学院,巴黎理工学院);School of AI Convergence, Sungshin Women’s University(顺天女子大学人工智能融合学院);INRIA/ ENS and Télécom Paris(法国国家信息与自动化研究所/巴黎高等师范学院与电信巴黎学院)
Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks
Department of Artificial Intelligence, Indian Institute of Technology Hyderabad, Telangana, India(印度海得拉巴印度理工学院人工智能系);School of Informatics, Kami, Kochi University of Technology, Kochi, Japan(日本科技大学信息学院);Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan(东北大学信息科学研究生院)
Carbon-Aware Orchestration of Integrated Satellite Aerial Terrestrial Networks via Digital Twin
College of Electronics and Information Engineering, Tongji University(同济大学电子与信息工程学院);State Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University(同济大学自主智能无人系统国家重点实验室);Department of Electrical and Communication Engineering, College of Engineering, UAE University(阿联酋大学电气与通信工程系)