User-Mobility-Aware Optimization of Fiber Placement in Hybrid Fiber-IAB Networks

2026-06-16

AI Summary

This study addresses the limitations of existing hybrid fiber–Integrated Access and Backhaul (IAB) network topology designs, which neglect user mobility and consequently suffer from poor backhaul adaptability and high deployment costs. To overcome these challenges, this work proposes a novel joint optimization framework that explicitly incorporates dynamic user behavior into fiber deployment planning. By integrating a realistic user mobility model with network topology design, the approach enables the backhaul infrastructure to better accommodate spatial and temporal variations in user distribution. A metaheuristic algorithm is employed to efficiently solve the resulting complex optimization problem. Experimental results demonstrate that the proposed method significantly enhances both the adaptability of the backhaul network to evolving user patterns and its cost efficiency, offering a practical and scalable solution for deploying flexible and resilient infrastructure in sixth-generation (6G) wireless networks.

Abstract

Metaheuristic optimization of hybrid fiber-IAB networks demonstrates that integrating user dynamics into topology design enables more adaptive and cost-efficient backhaul architectures, contributing to the development of scalable and flexible 6G network infrastructures.

Problem

• User Mobility
• Fiber Placement
• Hybrid Fiber-IAB Networks
• Backhaul Optimization
• 6G Networks

Innovation

• user mobility
• fiber-IAB networks
• metaheuristic optimization
• backhaul architecture
• 6G infrastructure