HyperX @ SSU

Research Focus

Research

Our lab explores cutting-edge innovations in future communication systems.

Reinforcement learning-based beamformer designs
Reinforcement learning-based beamformer designs
Neural warm start for sequential rate matching (BT-NWS-GPI)
Neural warm start for sequential rate matching (BT-NWS-GPI)
Solver agent for demand-surge adaptation (Act–Observe–Decide)
Solver agent for demand-surge adaptation (Act–Observe–Decide)
01

AI for Wireless Communications

Applying various machine learning models for intelligent communication systems.

Key Topics

  • Reinforcement learning-based secure beamforming
  • LLM-assisted optimization for beam hopping and cell association
  • Neural warm start and agentic demand adaptation for RSMA

Related Works

  • Beamspace-transported neural warm start for sequential LEO RSMA rate matching with agentic demand adaptationsubmitted to IEEE Journal on Selected Areas in Communications, Oct. 2026
  • Reinforcement learning-based secure beamforming against satellite eavesdropperssubmitted to IEEE Transactions on Wireless Communications, June 2026
  • LLM-assisted search steering for successive best response in multi-satellite LEO beam hopping and cell associationInternational Conference on Information and Communication Technology Convergence (ICTC), Oct. 2026
  • Networking the space data center: Requirements, use cases, and physical limitsInternational Conference on Information and Communication Technology Convergence (ICTC), Oct. 2026
RSMA system for unicast and multicast
RSMA system for unicast and multicast
AFDM transceiver with delay–Doppler sensing
AFDM transceiver with delay–Doppler sensing
02

6G Technologies

Investigating ultra-low latency, high-speed communication protocols for next-gen connectivity.

Key Topics

  • Rate-splitting multiple access (RSMA) for unicast and multicast
  • Integrated sensing and communication (ISAC) with AFDM
  • Near-field channel estimation for movable antenna systems
  • Beam squint and wideband beamforming
  • Distributed MIMO and phase-error-aware power allocation
  • Secure ambient IoT networks

Related Works

  • Optimal reference location determination for GNSS-resilient NR-NTN initial accessin preparation
  • LEO satellite-enabled ISAC: AFDM-based joint angle–delay–doppler estimationsubmitted to IEEE Transactions on Wireless Communications, Sep. 2026
  • Rate-splitting multiple access with grouping for scalable satellite communicationsubmitted to IEEE Transactions on Wireless Communications, Aug. 2026
  • Decoupled near-field channel estimation for movable antenna-enabled wideband systemssubmitted to IEEE Transactions on Wireless Communications, July 2026
  • Leveraging beam squint for increased LEO coverage: An optimization approachaccepted to IEEE Transactions on Wireless Communications, Oct. 2026
Walker-delta LEO constellation · i = 53° · 24 planes × 22 satellites
Satellite beam distortion on the Earth's surface
Earth–Moon circular restricted three-body problem
03

Satellite & Space Communications

Advancing satellite and space communication technologies for global connectivity.

Key Topics

  • LEO mega-constellation modeling and coverage analysis
  • Satellite clustering for non-terrestrial networks
  • GEO and hybrid GEO-LEO satellite networks
  • Beam hopping and cell association in multi-satellite LEO systems
  • Optical inter-satellite links (FSO) and pointing errors
  • 3GPP NTN standardization and system-level simulation
  • Physical-layer security against satellite eavesdroppers

Related Works

  • Efficient downlink interference analysis of LEO mega-constellations via satellite visibilityin preparation
  • Robust 3D rainbow beamforming in LEO satellite communications under imperfect CSIsubmitted to IEEE Transactions on Wireless Communications, Oct 2026
  • Beamspace-transported neural warm start for sequential LEO RSMA rate matching with agentic demand adaptationsubmitted to IEEE Journal on Selected Areas in Communications, Oct. 2026
  • Non-terrestrial networks for 6G: 3GPP evolution and technical challengessubmitted to IEEE Communications Surveys and Tutorials, July 2026
  • Reinforcement learning-based secure beamforming against satellite eavesdropperssubmitted to IEEE Transactions on Wireless Communications, June 2026
  • Challenge-response authentication for LEO satellite channels: Exploiting orbit-specific uniquenesssubmitted to IEEE Wireless Communications Magazine, Mar. 2026

Join Us

Interested in our research?

Feel free to visit our lab to discuss your research interests in detail. 🚀

dhjung@ssu.ac.kr

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