Integrated Access and Backhaul for 5G, 6G and Beyond
Doctoral thesis, 2025

Enabling network densification to support coverage-limited millimeter-wave (mmWave) frequencies is a fundamental requirement for 5G, 6G and beyond. However, connecting a high density of base stations (BSs) to the core network remains a significant challenge. While fiber-based backhaul provides high-capacity, reliable links, its deployment may involve substantial costs and long installation times. Wireless backhaul offers a more flexible and rapidly deployable alternative but is often constrained by lower data rates and environmental vulnerabilities. To address these challenges, integrated access and backhaul (IAB) has emerged as a promising solution that repurposes part of the available spectrum for both access and backhaul, enhancing deployment flexibility and reducing time-to-market. Here, the same node/hardware is used to provide both backhaul and cellular services in a multi-hop architecture.
This thesis investigates IAB as a scalable transport solution by analyzing and optimizing its performance under realistic conditions. Using analytical models and simulations, we study the effects of blockage, foliage, and rain attenuation on service coverage and compare IAB deployments with fully fibered and hybrid architectures. We develop methods for optimizing IAB topology design under practical constraints such as inter-node distance and geographical limitations, and evaluate routing strategies to mitigate temporary blockages. We also explore how complementary technologies including reconfigurable intelligent surfaces (RIS), network-controlled repeaters, and free-space optical (FSO) links can enhance IAB-based networks. Our results show that well-planned hybrid deployments can improve coverage and energy efficiency while reducing infrastructure costs.

Overall, the thesis offers an integrated assessment of IAB-based architectures and shows how careful planning and technology integration can enable cost-efficient and robust network densification. The findings suggest that, with appropriate design and optimization, IAB can serve as an effective and scalable backhaul solution for future wireless systems.

Rout- ing

6G

millimeter wave (mmWave)

Relay

Densification

Wireless backhaul

Stochastic geometry

5G

Reconfigurable Intelligent Surface (RIS)

Coverage probability

Topology optimization

Beyond 6G

Free-Space Optical (FSO)

Poisson point process (PPP)

3GPP

Integrated access and backhaul (IAB)

HC1, Chalmers
Opponent: Prof. Hüseyin Arslan, Full Professor, School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey

Author

Charitha Madapatha Madapathage Don

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

On Integrated Access and Backhaul Networks: Current Status and Potentials

IEEE Open Journal of the Communications Society,;Vol. 1(2020)p. 1374-1389

Journal article

On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach

IEEE Open Journal of the Communications Society,;Vol. 2(2021)p. 2273-2291

Journal article

Constrained Deployment Optimization in Integrated Access and Backhaul Networks

IEEE Wireless Communications and Networking Conference, WCNC,;Vol. 2023-March(2023)

Paper in proceeding

Reconfigurable Intelligent Surfaces-Assisted Integrated Access and Backhaul

2025 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom),;(2025)

Paper in proceeding

Joint Fiber and Free Space Optical Infrastructure Planning for Hybrid Integrated Access and Backhaul Networks

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC,;(2025)

Paper in proceeding

Future 5G and 6G systems need many small base stations, but connecting all of them with fiber is expensive, time consuming, and often impractical. This thesis explores Integrated Access and Backhaul (IAB), a solution where the same wireless equipment both serves users and carries data between base stations, making networks easier to deploy while keeping costs down. The research evaluates how IAB performs in real environments where buildings, trees, and rain weaken signals, and compares fully fibered networks with hybrid setups where only a fraction of the base stations rely on fiber and the remaining ones on IAB. The thesis also develops optimization methods using genetic algorithms and dynamic routing to decide how base stations should be arranged and connected so the network stays robust during temporary blockages. The results show that, with proper planning, IAB can offer strong coverage and flexibility. The work further examines deployment constraints, such as limits on inter-IAB distance and geographical barriers. By designing algorithms that account for these real-world limitations, the research shows that smart planning can significantly improve service coverage even in constrained areas. Finally, the thesis investigates new technologies such as reconfigurable intelligent surfaces (RIS) and free-space optical (FSO) links. When combined with IAB, these hybrid approaches can enhance coverage, energy efficiency, and cost-effectiveness, especially where laying fiber is difficult or costly.

A holistic flagship towards the 6G network platform and system, to inspire digital transformation, for the world to act together in meeting needs in society and ecosystems with novel 6G services

European Commission (EC) (101095759-Hexa-X-II), 2022-12-01 -- 2025-06-30.

A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X )

European Commission (EC) (EC/2020/101015956), 2021-01-01 -- 2023-06-30.

European Commission (EC) (EC/HE/101120332), 2023-10-01 -- 2027-09-30.

ChaseOn Multiantenna wireless architectures for next-generation wireless systems (Mantua)

VINNOVA, 2017-01-01 -- 2021-12-31.

Efficient Confluent Edge Networks (ECO-eNET)

European Commission (EC) (EC/HE/101139133), 2024-01-01 -- 2028-12-31.

Subject Categories (SSIF 2025)

Communication Systems

Computer Engineering

Telecommunications

DOI

10.63959/chalmers.dt/5799

ISBN

978-91-8103-342-7

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5799

Publisher

Chalmers

HC1, Chalmers

Opponent: Prof. Hüseyin Arslan, Full Professor, School of Engineering and Natural Sciences, Istanbul Medipol University, Turkey

More information

Latest update

1/4/2026 1