activity
20232025
most citedEfficient Interference Graph Estimation via Concurrent Flooding

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NI2025

A First Look at Inter-Cell Interference in the Wild

Daqian Ding, Yibo Pi, Cailian Chen

In cellular networks, inter-cell interference management has been studied for decades, yet its real-world effectiveness remains under-explored. To bridge this gap, we conduct a fir…

cs.NI2025

Interference Graph Estimation for Resource Allocation in Multi-Cell Multi-Numerology Networks: A Power-Domain Approach

Daqian Ding, Haorui Li, Yibo Pi +1

The interference graph, depicting the intra- and inter-cell interference channel gains, is indispensable for resource allocation in multi-cell networks.However, there lacks viable…

cs.CV2025

Neural Reflectance Fields for Radio-Frequency Ray Tracing

Haifeng Jia, Xinyi Chen, Yichen Wei +2

Ray tracing is widely employed to model the propagation of radio-frequency (RF) signal in complex environment. The modelling performance greatly depends on how accurately the targe…

cs.NI2024

Power-Domain Interference Graph Estimation for Multi-hop BLE Networks

Haifeng Jia, Yichen Wei, Yibo Pi +1

Traditional wisdom for network management allocates network resources separately for the measurement and communication tasks. Heavy measurement tasks may compete limited resources…

cs.NI2024

Power-Domain Interference Graph Estimation for Full-Duplex Millimeter-Wave Backhauling

Haorui Li, Daqian Ding, Yibo Pi +1

Traditional wisdom for network resource management allocates separate frequency-time resources for measurement and data transmission tasks. As a result, the two types of tasks have…

cs.NI2023★ 2 cited

Efficient Interference Graph Estimation via Concurrent Flooding

Haifeng Jia, Yichen Wei, Zhan Wang +3

Traditional wisdom for network management allocates network resources separately for the measurement and data transmission tasks. Heavy measurement tasks may take up resources for…

cs.NI2023

AdapINT: A Flexible and Adaptive In-Band Network Telemetry System Based on Deep Reinforcement Learning

Penghui Zhang, Hua Zhang, Yibo Pi +3

In-band Network Telemetry (INT) has emerged as a promising network measurement technology. However, existing network telemetry systems lack the flexibility to meet diverse telemetr…