7 citations · 13 across the 22 of their papers we have counts for
25 papers
Rethinking the Foundations of Two-Sided AI Models for 6G
Yongjeong Oh, Zihan Chen, Timothy J. O'Shea +4
For next-generation air interfaces, two-sided artificial intelligence (AI) models have received growing attention, with AI models deployed at both the transmitter and receiver for…
Context-Aware Wireless Token Communication via Joint Token Masking and Detection
Junyong Shin, Joohyuk Park, Yongjeong Oh +3
The increasing use of token-based representations in language-driven applications has motivated wireless token communication, where tokens are treated as fundamental units for tran…
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…
Action Deviation-Aware Inference for Low-Latency Wireless Robots
Jeyoung Park, Yeonsub Lim, Seungeun Oh +3
To support latency-sensitive AI applications ranging from autonomous driving to industrial robot manipulation, 6G envisions distributed ML with computational resources in mobile, e…
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…
Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission
Seungeun Oh, Jinhyuk Kim, Jihong Park +4
To support emerging language-based applications using dispersed and heterogeneous computing resources, the hybrid language model (HLM) offers a promising architecture, where an on-…
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…
Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance
Sivaram Krishnan, Jihong Park, Gregory Sherman +2
Low Probability of Detection (LPD) communication aims to obscure the very presence of radio frequency (RF) signals, going beyond just hiding the content of the communication. Howev…
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks
Eleonora Grassucci, Jihong Park, Sergio Barbarossa +3
While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption in communication frameworks is still far underestimat…