activity
20242026
collaborators

20 papers

eess.SP2026

Deadline-Bound Finite-Object Delivery over Intermittent LEO Satellite Contact Plans under Residual-Service Accounting

Houtianfu Wang, O. Tansel Baydas, Hanlin Cai +2

Low-Earth-orbit (LEO) relay networks deliver finite objects -- sensing tiles, telemetry blocks, model updates, and checkpoints -- over intermittent inter-satellite and space-to-gro…

cs.LG2026

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs

Hanlin Cai, Kai Li, Houtianfu Wang +4

Federated fine-tuning (FFT) has emerged as a privacy-preserving paradigm for collaboratively adapting large language models (LLMs). Built upon federated learning, FFT enables distr…

eess.SP2026

Edge-Side Fingerprints of Service Tiering and Quota Throttling in Starlink

Houtianfu Wang, Hanlin Cai, Haofan Dong +1

We design and evaluate an edge-side measurement procedure for auditing service tiering and quota-based throttling in Starlink. Using a 232.8-hour plan-hopping campaign on a UK resi…

eess.SP2026

A reversed solar illumination dependence of unintended emission from Starlink Direct-to-Cell satellites at 72-234 MHz with the EDA2

Haofan Dong, Houtianfu Wang, Hanlin Cai +1

Second-generation Starlink Direct-to-Cell (DTC) satellites carry an additional payload for direct cellular phone connectivity whose unintended electromagnetic radiation (UEMR) at s…

eess.SP2026

Rain Rate Estimation Bounds and Weather-Adaptive Pilot Allocation for LEO Satellite ISAC

Haofan Dong, Houtianfu Wang, Hanlin Cai +2

Rain attenuates Ku-band satellite signals by up to 20~dB, encoding precipitation information along the Earth-space slant path. This paper derives the Bayesian Cramér-Rao bound (BC…

eess.SP2026

CisLunarSense: Opportunistic ISAC for Debris Detection at the Lunar Gateway

Haofan Dong, Ozgur B. Akan

We propose CisLunarSense, an opportunistic integrated sensing and communication (ISAC) framework that exploits the Lunar Gateway's Ka-band relay for monostatic debris detection, ad…