SeBaSi system-level Integrated Access and Backhaul simulator for self-backhauling

TL;DR

SeBaSi is a flexible, high-level system simulator designed to evaluate the performance of self-backhauled 5G networks with IAB, supporting complex urban scenarios and future technologies like RIS.

Contribution

The paper introduces SeBaSi, a novel system-level simulator for IAB networks that enables detailed performance analysis and customization for emerging wireless technologies.

Findings

SeBaSi effectively simulates IAB deployments in urban environments.

The simulator supports extension to new technologies like RIS.

SeBaSi provides insights into dense 5G network performance.

Abstract

millimeter wave (mmWave) and sub-terahertz (THz) communications have the potential of increasing mobile network throughput drastically. However, the challenging propagation conditions experienced at mmWave and beyond frequencies can potentially limit the range of the wireless link down to a few meters, compared to up to kilometers for sub-6GHz links. Thus, increasing the density of base station deployments is required to achieve sufficient coverage in the Radio Access Network (RAN). To such end, 3rd Generation Partnership Project (3GPP) introduced wireless backhauled base stations with Integrated Access and Backhaul (IAB), a key technology to achieve dense networks while preventing the need for costly fiber deployments. In this paper, we introduce SeBaSi, a system-level simulator for IAB networks, and demonstrate its functionality by simulating IAB deployments in Manhattan, New York City and Padova. Finally, we show how SeBaSi can represent a useful tool for the performance evaluation of self-backhauled cellular networks, thanks to its high level of network abstraction, coupled with its open and customizable design, which allows users to extend it to support novel technologies such as Reconfigurable Intelligent Surfaces (RISs)