Optimizing and Managing Wireless Backhaul for Resilient Next-Generation Cellular Networks

TL;DR

This paper proposes an optimized, resilient wireless backhaul management strategy for next-generation cellular networks, utilizing 3D modeling, ray tracing, and a dynamic control framework within the Open RAN architecture to enhance network robustness and efficiency.

Contribution

It introduces a novel optimization approach for wireless backhaul design, integrating 3D modeling, ray tracing, and a dynamic control framework for improved network resilience.

Findings

The proposed strategy effectively manages backhaul topology and flow under various constraints.

Prototype implementation demonstrates real-time adaptability in large-scale emulation.

Results show improved network robustness and scalability in diverse scenarios.

Abstract

Next-generation wireless networks target high network availability, ubiquitous coverage, and extremely high data rates for mobile users. This requires exploring new frequency bands, e.g., mmWaves, moving toward ultra-dense deployments in urban locations, and providing ad hoc, resilient connectivity in rural scenarios. The design of the backhaul network plays a key role in advancing how the access part of the wireless system supports next-generation use cases. Wireless backhauling, such as the newly introduced Integrated Access and Backhaul (IAB) concept in 5G, provides a promising solution, also leveraging the mmWave technology and steerable beams to mitigate interference and scalability issues. At the same time, however, managing and optimizing a complex wireless backhaul introduces additional challenges for the operation of cellular systems. This paper presents a strategy for the optimal creation of the backhaul network considering various constraints related to network topology, robustness, and flow management. We evaluate its feasibility and efficiency using synthetic and realistic network scenarios based on 3D modeling of buildings and ray tracing. We implement and prototype our solution as a dynamic IAB control framework based on the Open Radio Access Network (RAN) architecture, and demonstrate its functionality in Colosseum, a large-scale wireless network emulator with hardware in the loop.