activity
20232025
most citedSpace-ground Fluid AI for 6G Edge Intelligence

11 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2025

Regional Resource Management for Service Provisioning in LEO Satellite Networks: A Topology Feature-Based DRL Approach

Chenxi Bao, Di Zhou, Min Sheng +3

Satellite networks with wide coverage are considered natural extensions to terrestrial networks for their long-distance end-to-end (E2E) service provisioning. However, the inherent…

eess.SY2025

3C Resources Joint Allocation for Time-Deterministic Remote Sensing Image Backhaul in the Space-Ground Integrated Network

Chongxiao Cai, Yan Zhu, Min Sheng +5

Low-Earth-orbit (LEO) satellites assist observation satellites (OSs) to compress and backhaul more time-determined images (TDI) has become a new paradigm, which is used to enhance…

cs.NI2024★ 11 cited

Space-ground Fluid AI for 6G Edge Intelligence

Qian Chen, Zhanwei Wang, Xianhao Chen +5

Edge artificial intelligence (AI) and space-ground integrated networks (SGINs) are two main usage scenarios of the sixth-generation (6G) mobile networks. Edge AI supports pervasive…

cs.NI2023

High Throughput Inter-Layer Connecting Strategy for Multi-Layer Ultra-Dense Satellite Networks

Qi Hao, Di Zhou, Min Sheng +2

Multi-layer ultra-dense satellite networks (MLUDSNs) have soared this meteoric to provide vast throughputd for globally diverse services. Differing from traditional monolayer const…

eess.SY2023

Inter-domain Resource Collaboration in Satellite Networks: An Intelligent Scheduling Approach Towards Hybrid Missions

Chenxi Bao, Di Zhou, Min Sheng +2

Since the next-generation satellite network consisting of various service function domains, such as communication, observation, navigation, etc., is moving towards large-scale, usi…