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Satellite Communication Networks: Resource Optimization
Satellite Communication Networks: Resource Optimization
Fig1. Satellite Communication Networks: Resource Optimization
[Description]
Development and performance analysis of power and channel allocation strategies with beam sweeping for satellite communication networks. We design adaptive methods that select beam direction/schedule, allocate transmit power, and assign channels under time-varying links to improve throughput, coverage, and interference robustness.
[Achievement]
[SCIE] Y. Cho, W. Yang, D. Oh, and H.-S. Jo, "Multi-Agent Deep Reinforcement Learning for Interference-Aware Channel Allocation in Non-Terrestrial Networks," IEEE Communications Letters, vol. 27, no. 3, pp. 936-940, March 2023.
[Patent] System and Method for Channel Allocation of Low Earth Orbit Satellites (App. No. 10-2025-0115429)
Satellite Communication Networks: Autonomous Networking
Satellite Communication Networks: Autonomous Networking
Fig2. Satellite Communication Networks: Autonomous Networking
[Description]
Development and performance analysis of multi-agent AI that autonomously and jointly performs spectrum allocation, interference management, and congestion control to enable network recovery and reconfiguration.
[Achievement]
[Project] Phase 2 Research Project of Specialized Research Laboratory for Space-Tier Intelligent Communication Networks (2026-2028)
Satellite Communication Networks: Interference Analysis
Satellite Communication Networks: Interference Analysis
Fig3. Satellite Communication Networks: Interference Analysis
[Description]
We conduct interference analysis for satellite communication networks by modeling and quantifying aggregate interference from coexisting systems under realistic deployment and propagation conditions. Based on metrics such as I/N and SINR, we evaluate protection criteria compliance and derive insights to support spectrum sharing, interference mitigation, and reliable network operation.
[Achievement]
[SCIE] Y. Cho, H.-K. Kim, M. Nekovee, and H.-S. Jo, "Coexistence of 5G With Satellite Services in the Millimeter-Wave Band," IEEE Access, vol. 8, pp. 163618-163636, 2020.
[KCI] B.-H. Jang, D. Lee, Y. Kim, Y. Cho, and H.-S. Jo, "Interference Analysis between IMT-2030 and Low Earth Orbit Satellite Services Using Phased Array Antennas and Multi-User Beamforming," The Journal of Korean Institute of Electromagnetic Engineering and Science, vol. 36, no. 11, pp. 1043-1054, Nov 2025.
[Copyright] Simulator for Radio Interference between Satellite and Other Wireless Services (Registration No. 111171-0007522)
Satellite Communication Networks: Interference Analysis
Satellite Communication Networks: Interference Analysis
Fig4. 5G-FSS Satellite Interference Scenario
FIg6. 5G Network Architecture
Fig8. Simulation Results
Fig5. 5G-ESIM Earth Station (Maritime, Land) Interference Scenario
FIg7. 5G-Array Antenna Pattern
[Description]
- Analysis of frequency coexistence feasibility by examining interference with services operating in the same or adjacent bands as the candidate 5G frequency bands, to identify new 5G frequencies
- After implementing a 5G network based on 3GPP modeling documents, analyze interference received by FSS satellites in the co-channel and interference received by ESIM earth stations (maritime, land) in adjacent channels
[Achievement]
[SCIE] Y. Cho, H.-K. Kim, M. Nekovee, and H.-S. Jo, "Coexistence of 5G With Satellite Services in the Millimeter-Wave Band," IEEE Access, vol. 8, pp. 163618-163636, 2020.
[SCIE] H. Kim, Y. Cho, and H.-S. Jo, "Adjacent Channel Compatibility Evaluation and Interference Mitigation Technique Between Earth Station in Motion and IMT-2020," IEEE Access, vol. 8, pp. 213185-213205, 2020.
[Award] 2018 KIEES Best Paper Award (IEEE EMC Korea Chapter)
[Award] 2019 Radio Research (Policy) Paper Contest (KCA and KIEES)
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