A Deep Learning Approach for Detecting Virtual Link Anomalies in LEO Satellite Networks
Author:
Affiliation:
1. School of Communication and Information Engineering, Chongqing Univ. Posts & Telecom.,Chongqing,China
Funder
Natural Science Foundation of Chongqing
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10460591/10460598/10460725.pdf?arnumber=10460725
Reference16 articles.
1. Joint HAP Access and LEO Satellite Backhaul in 6G: Matching Game-Based Approaches
2. Robust Beamforming for Multibeam Satellite Communication in the Face of Phase Perturbations
3. Auction Design and Analysis for SDN-Based Traffic Offloading in Hybrid Satellite-Terrestrial Networks
4. Network Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges
5. SliceNetVSwitch: Definition, Design and Implementation of 5G Multi-Tenant Network Slicing in Software Data Paths
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