1 citations · 1 across the 6 of their papers we have counts for
6 papers
Reinforcement Learning-Based Policy Optimisation For Heterogeneous Radio Access
Anup Mishra, Čedomir Stefanović, Xiuqiang Xu +2
Flexible and efficient wireless resource sharing across heterogeneous services is a key objective for future wireless networks. In this context, we investigate the performance of a…
Scalable Data Transmission Framework for Earth Observation Satellites with Channel Adaptation
Van-Phuc Bui, Shashi Raj Pandey, Israel Leyva-Mayorga +1
The immense volume of data generated by Earth observation (EO) satellites presents significant challenges in transmitting it to Earth over rate-limited satellite-to-ground communic…
Coexistence of Real-Time Source Reconstruction and Broadband Services Over Wireless Networks
Anup Mishra, Nikolaos Pappas, Čedomir Stefanović +5
Achieving a flexible and efficient sharing of wireless resources among a wide range of novel applications and services is one of the major goals of the sixth-generation of mobile s…
Semantic and goal-oriented edge computing for satellite Earth Observation
Beatriz Soret, Israel Leyva-Mayorga, Antonio M. Mercado-Martínez +6
The integration of Semantic Communications (SemCom) and edge computing in space networks enables the optimal allocation of the scarce energy, computing, and communication resources…
Generative Network Layer for Communication Systems with Artificial Intelligence
Mathias Thorsager, Israel Leyva-Mayorga, Beatriz Soret +1
The traditional role of the network layer is the transfer of packet replicas from source to destination through intermediate network nodes. We present a generative network layer th…
Q-learning for distributed routing in LEO satellite constellations
Beatriz Soret, Israel Leyva-Mayorga, Federico Lozano-Cuadra +1
End-to-end routing in Low Earth Orbit (LEO) satellite constellations (LSatCs) is a complex and dynamic problem. The topology, of finite size, is dynamic and predictable, the traffi…