16 papers
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…
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…
Towards Optimal Semantic Communications: Reconsidering the Role of Semantic Feature Channels
Yongjeong Oh, Jihong Park, Jinho Choi +1
This paper investigates the optimization of transmitting the encoder outputs, termed semantic features (SFs), in semantic communication (SC). We begin by modeling the entire commun…
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…