From the 1 of 3 linked papers with an AI index.
3 papers
cs.NI2026
Scheduler-Agnostic Adaptive-FEC for MPQUIC: Field Evaluation over Commercial Cellular Paths
Takuma Tsubaki, Soto Anno, Seiya Komatsu +2
The paper proposes a scheduler‑agnostic adaptive forward error correction scheme for MPQUIC datagrams that uses QUIC loss signals and Reed‑Solomon coding to improve reliability and…
cs.NI2026
CloudEmu: A Trace-Driven Cloud-Native Emulation Testbed for Vehicle Video Uplink over Cellular Networks
Takashi Torii, Soto Anno, Masaki Okada +3
We present CloudEmu, a trace-driven, cloud-native cellular-emulation testbed for vehicle video uplink communication. Reliable, low-latency video uplink over cellular networks is es…
cs.LG2024
Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
Soto Anno, Kota Tsubouchi, Masamichi Shimosaka
Forecasting rail congestion is crucial for efficient mobility in transport systems. We present rail congestion forecasting using reports from passengers collected through a transit…