Paper Available on arXiv

We have posted our paper LatencyScope: A System-Level Mathematical Framework for 5G RAN Latency on arXiv.

Abstract
This paper presents LatencyScope, a mathematical framework for accurately computing one-way latency (for uplink and downlink) in the 5G RAN across diverse system configurations.
LatencyScope models latency sources at every layer of the Radio Access Network (RAN), pinpointing system-level bottlenecks—such as radio interfaces, scheduling policies, and hardware/software constraints—while capturing their intricate dependencies and stochastic nature.
The framework also includes a configuration optimizer that uses these mathematical models to search hundreds of billions of configurations and identify settings that meet latency–reliability targets under user constraints.
We validate LatencyScope on two open-source 5G RAN testbeds (srsRAN and OAI), demonstrating close agreement with empirical latency distributions and significant improvements over prior analytical models and widely used simulators (MATLAB 5G Toolbox and 5G-LENA).
Finally, LatencyScope identifies system configurations that meet Ultra-Reliable Low-Latency Communications (URLLC) targets, enabling network operators to efficiently determine optimal system setups.