1 citations · 5 across the 24 of their papers we have counts for
8 papers · 1 filter
Knowledge vs. Experience: Asymptotic Limits of Impatience in Edge Tenants
Anthony Kiggundu, Bin Han, Hans D. Schotten
We study how two information feeds, a closed-form Markov estimator of residual sojourn and an online trained actor-critic, affect reneging and jockeying in a dual M/M/1 system. Ana…
Network-Centric Anomaly Filtering and Spoofer localization for 5G-NR Localization in LAWNs
Zexin Fang, Bin Han, Zhu Han +3
This paper investigates security vulnerabilities and countermeasures for the 3rd Generation Partnership Project (3GPP) Fifth Generation New Radio (5G-NR) Time Difference of Arrival…
Adaptive Decentralized Queue Disclosure for Impatient Tenants in Edge and Non-terrestrial Systems
Anthony Kiggundu, Bin Han, Hans D. Schotten
We study how queue-state information disclosures affect impatient tenants in multi-tenant edge systems. We propose an information-bulletin strategy in which each queue periodically…
Lightweight Node Selection in Hexagonal Grid Topology for TDoA-Based UAV Localization
Zexin Fang, Bin Han, Wenwen Chen +1
This paper investigates the optimization problem for TDoA-based UAV localization in low-altitude urban environments with hexagonal grid node deployment. We derive a lightweight opt…
A Novel Dynamic Epidemic Model for Successive Opinion Diffusion in Social Networks
Bin Han, Fabienne Renckens, C. Clark Cao +1
This paper proposes a dynamic epidemic model for successive opinion diffusion in social networks, extending the SHIMR model. It incorporates dynamic decision-making influenced by s…
Is ASMR Engineerable? A Signal Processing and User Experience Study
Zexin Fang, Bin Han, Henrik H. Sveen +2
Autonomous Sensory Meridian Response (ASMR) has been remarkably popular in the recent decade, yet whether its effects can be deliberately engineered remains an open question. While…
Quotation-Based Data Retention Mechanism for Data Privacy in LLM-Empowered Network Services
Bin Han, Di Feng, Zexin Fang +2
The deployment of large language models (LLMs) for next-generation network optimization introduces novel data governance challenges. mobile network operators (MNOs) increasingly le…
VENENA: A Deceptive Visual Encryption Framework for Wireless Semantic Secrecy
Bin Han, Ye Yuan, Hans D. Schotten
Eavesdropping has been a long-standing threat to the security and privacy of wireless communications, since it is difficult to detect and costly to prevent. As networks evolve towa…