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Autori principali: Briggs, Keith, Nur, Ibrahim
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2511.02692
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author Briggs, Keith
Nur, Ibrahim
author_facet Briggs, Keith
Nur, Ibrahim
contents System-level simulation is indispensable for developing and testing novel algorithms for 5G and future wireless networks, yet a gap persists between the needs of the machine learning re- search community and the available tooling. To address this, we introduce the Cellular Radio Reference Model (CRRM), an open-source, pure Python simulator we designed specifically for speed, usability, and direct integration with modern AI frameworks. The core scientific contribution of CRRM lies in its architecture, which departs from traditional discrete-event simulation. We model the system as a set of inter-dependent computational blocks which form nodes in a directed graph. This enables a compute-on-demand mechanism we term smart update.
format Preprint
id arxiv_https___arxiv_org_abs_2511_02692
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle CRRM: A 5G system-level simulator
Briggs, Keith
Nur, Ibrahim
Networking and Internet Architecture
System-level simulation is indispensable for developing and testing novel algorithms for 5G and future wireless networks, yet a gap persists between the needs of the machine learning re- search community and the available tooling. To address this, we introduce the Cellular Radio Reference Model (CRRM), an open-source, pure Python simulator we designed specifically for speed, usability, and direct integration with modern AI frameworks. The core scientific contribution of CRRM lies in its architecture, which departs from traditional discrete-event simulation. We model the system as a set of inter-dependent computational blocks which form nodes in a directed graph. This enables a compute-on-demand mechanism we term smart update.
title CRRM: A 5G system-level simulator
topic Networking and Internet Architecture
url https://arxiv.org/abs/2511.02692