3 papers
cs.NI2026
NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
Haoran Wan, Yaxiong Xie, Kyle Jamieson
Current and future applications demand ultra-low latency and consistent throughput, yet frequently traverse 5G cellular networks, so cope with volatile packet dynamics, as 5G base…
cs.NI2025
L4Span: Spanning Congestion Signaling over NextG Networks for Interactive Applications
Haoran Wan, Kyle Jamieson
Design for low latency networking is essential for tomorrow's interactive applications, but it is essential to deploy incrementally and universally at the network's last mile. Whil…
cs.NI2025
Automated, Cross-Layer Root Cause Analysis of 5G Video-Conferencing Quality Degradation
Fan Yi, Haoran Wan, Kyle Jamieson +1
5G wireless networks are complex, leveraging layers of scheduling, retransmission, and adaptation mechanisms to maximize their efficiency. But these mechanisms interact to produce…