3 citations · 5 across the 20 of their papers we have counts for
22 papers
Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation
Jihoon Lee, Seungeun Oh, Jihong Park +2
Despite the rise of token communication (TokCom) as a new paradigm beyond traditional bit communication, existing approaches have primarily adopted artificial intelligence (AI)-cen…
Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach
Sivaram Krishnan, Bassel Al Homssi, Zhouyou Gu +3
Terrestrial network limitations drive the integration of non-terrestrial networks (NTNs), notably mega-constellations comprising thousands of low Earth orbit (LEO) satellites. Whil…
Semantic Feature Channel Optimization: A Unified Framework for Analog and Digital Semantic Communications
Yongjeong Oh, Jihong Park, Jinho Choi +1
Semantic communication (SC) aims to improve communication efficiency by transmitting only task-relevant information, termed semantic features (SFs). Most existing SC frameworks ach…
Duality-Guided Graph Learning for Real-Time Joint Connectivity and Routing in LEO Mega-Constellations
Zhouyou Gu, Jinho Choi, Tony Q. S. Quek +1
Laser inter-satellite links (LISLs) of low Earth orbit (LEO) mega-constellations enable high-capacity backbone connectivity in non-terrestrial networks, but their management is cha…
Context-Aware Iterative Token Detection and Masked Transmission for Wireless Token Communication
Junyong Shin, Joohyuk Park, Jihong Park +2
The success of large-scale language models has established tokens as compact and meaningful units for natural-language representation, which motivates token communication over wire…
Reinforcement Learning for Opportunistic Routing in Software-Defined LEO-Terrestrial Systems
Sivaram Krishnan, Zhouyou Gu, Jihong Park +2
The proliferation of large-scale low Earth orbit (LEO) satellite constellations is driving the need for intelligent routing strategies that can effectively deliver data to terrestr…
Joint Laser Inter-Satellite Link Matching and Traffic Flow Routing in LEO Mega-Constellations via Lagrangian Duality
Zhouyou Gu, Jinho Choi, Jihong Park
Low Earth orbit (LEO) mega-constellations greatly extend the coverage and resilience of future wireless systems. Within the mega-constellations, laser inter-satellite links (LISLs)…
Learning Time-Varying Graph Signals via Koopman
Sivaram Krishnan, Jinho Choi, Jihong Park
A wide variety of real-world data, such as sea measurements, e.g., temperatures collected by distributed sensors and multiple unmanned aerial vehicles (UAV) trajectories, can be na…
Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks
Sivaram Krishnan, Jinho Choi, Jihong Park +2
The application of machine learning (ML) to communication systems is expected to play a pivotal role in future artificial intelligence (AI)-based next-generation wireless networks.…
Low-Complexity Semantic Packet Aggregation for Token Communication via Lookahead Search
Seunghun Lee, Jihong Park, Jinho Choi +1
Tokens are fundamental processing units of generative AI (GenAI) and large language models (LLMs), and token communication (TC) is essential for enabling remote AI-generate content…
Semantic Packet Aggregation for Token Communication via Genetic Beam Search
Seunghun Lee, Jihong Park, Jinho Choi +1
Token communication (TC) is poised to play a pivotal role in emerging language-driven applications such as AI-generated content (AIGC) and wireless language models (LLMs). However,…
Semantic Packet Aggregation and Repeated Transmission for Text-to-Image Generation
Seunghun Lee, Jihong Park, Jinho Choi +1
Text-based communication is expected to be prevalent in 6G applications such as wireless AI-generated content (AIGC). Motivated by this, this paper addresses the challenges of tran…
Scalable Interference Graph Learning for Low-Latency Wi-Fi Networks using Hashing-based Evolution Strategy
Zhouyou Gu, Jihong Park, Jinho Choi
Wi-Fi 7 introduces the restricted target wake time (RTWT) mechanism, which is vital for Industrial IoT (IIoT) applications requiring periodic, reliable, and low-latency communicati…
SIG-SDP: Sparse Interference Graph-Aided Semidefinite Programming for Large-Scale Wireless Time-Sensitive Networking
Zhouyou Gu, Jihong Park, Branka Vucetic +1
Wireless time-sensitive networking (WTSN) is essential for Industrial Internet of Things. We address the problem of minimizing time slots needed for WTSN transmissions while ensuri…
Blind Training for Channel-Adaptive Digital Semantic Communications
Yongjeong Oh, Joohyuk Park, Jinho Choi +2
Semantic encoders and decoders for digital semantic communication (SC) often struggle to adapt to variations in unpredictable channel environments and diverse system designs. To ad…
Predictive Covert Communication Against Multi-UAV Surveillance Using Graph Koopman Autoencoder
Sivaram Krishnan, Jihong Park, Gregory Sherman +2
Low Probability of Detection (LPD) communication aims to obscure the presence of radio frequency (RF) signals to evade surveillance. In the context of mobile surveillance utilizing…
Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction
Jinho Choi, Sivaram Krishnan, Jihong Park
The Koopman autoencoder, a data-driven technique, has gained traction for modeling nonlinear dynamics using deep learning methods in recent years. Given the linear characteristics…
Language-Oriented Semantic Latent Representation for Image Transmission
Giordano Cicchetti, Eleonora Grassucci, Jihong Park +3
In the new paradigm of semantic communication (SC), the focus is on delivering meanings behind bits by extracting semantic information from raw data. Recent advances in data-to-tex…
Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling
Eleonora Grassucci, Jinho Choi, Jihong Park +3
In recent years, novel communication strategies have emerged to face the challenges that the increased number of connected devices and the higher quality of transmitted information…
Semantic Communication Challenges: Understanding Dos and Avoiding Don'ts
Jinho Choi, Jihong Park, Eleonora Grassucci +1
Semantic communication, emerging as a promising paradigm for data transmission, offers an innovative departure from the constraints of Shannon theory, heralding significant advance…
Interference-Aware Emergent Random Access Protocol for Downlink LEO Satellite Networks
Chang-Yong Lim, Jihong Park, Jinho Choi +3
In this article, we propose a multi-agent deep reinforcement learning (MADRL) framework to train a multiple access protocol for downlink low earth orbit (LEO) satellite networks. B…
Spectrum Sharing through Marketplaces for O-RAN based Non-Terrestrial and Terrestrial Networks
Jinho Choi, Bohai Li, Bassel Al Homssi +2
Non-terrestrial networks (NTNs), including low Earth orbit (LEO) satellites, are expected to play a pivotal role in achieving global coverage for Internet-of-Things (IoT) applicati…