On Integrated Access and Backhaul Networks: Current Status and Potentials
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Abstract (arXiv)
In this paper, we introduce and study the potentials and challenges of integrated access and backhaul (IAB) as one of the promising techniques for evolving 5G networks. We study IAB networks from different perspectives. We summarize the recent Rel-16 as well as the upcoming Rel-17 3GPP discussions on IAB, and highlight the main IAB-specific agreements on different protocol layers. Also, concentrating on millimeter wave-based communications, we evaluate the performance of IAB networks in both dense and suburban areas. Using a finite stochastic geometry model, with random distributions of IAB nodes as well as user equipments (UEs) in a finite region, we study the service coverage rate defined as the probability of the event that the UEs' minimum rate requirements are satisfied. We present comparisons between IAB and hybrid IAB/fiber-backhauled networks where a part or all of the small base stations are fiber-connected. Finally, we study the robustness of IAB networks to weather and various deployment conditions and verify their effects, such as blockage, tree foliage, rain as well as antenna height/gain on the coverage rate of IAB setups, as the key differences between the fiber-connected and IAB networks. As we show, IAB is an attractive approach to enable the network densification required by 5G and beyond.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Jun 2020.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
7 papers.
- 2021On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approachcited by 4
- 2022Constrained Deployment Optimization in Integrated Access and Backhaul Networkscited by 2
- 2026GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testingcited by 2
- 2021Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learningcited by 1
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaulcited by 0
- 2023Beamforming in Wireless Coded-Caching Systemscited by 0
- 2025Reconfigurable Intelligent Surfaces-Assisted Integrated Access and Backhaulcited by 0
- 2026GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing26 May 2026
- 2025Reconfigurable Intelligent Surfaces-Assisted Integrated Access and Backhaul17 Feb 2025
- 2023Beamforming in Wireless Coded-Caching Systems11 Sep 2023
- 2022Constrained Deployment Optimization in Integrated Access and Backhaul Networks11 Oct 2022
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul4 Feb 2022
- 2021Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning14 Dec 2021
- 2021On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach14 Feb 2021