mlsanityData to 14 Oct 2026

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

arXiv 2102.07252 ↗First posted 14 Feb 2021cs.NI cs.IT cs.LGcited by 4

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Abstract (arXiv)

In this paper, we study the problem of topology optimization and routing in integrated access and backhaul (IAB) networks, as one of the promising techniques for evolving 5G networks. We study the problem from different perspectives. We develop efficient genetic algorithm-based schemes for both IAB node placement and non-IAB backhaul link distribution, and evaluate the effect of routing on bypassing temporal blockages. Here, concentrating on millimeter wave-based communications, we study the service coverage probability, defined as the probability of the event that the user equipments' (UEs) minimum rate requirements are satisfied. Moreover, we study the effect of different parameters such as the antenna gain, blockage and tree foliage on the system performance. Finally, we summarize the recent Rel-16 as well as the upcoming Rel-17 3GPP discussions on routing in IAB networks, and discuss the main challenges for enabling mesh-based IAB networks. As we show, with a proper network topology, IAB is an attractive approach to enable the network densification required by 5G and beyond.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 15 of its 72 references that are in the map. First posted on arXiv 14 Feb 2021.

Builds on

15 of 72 references.

References · 15

  1. 2019Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approachcited by 7
  2. 2020On Integrated Access and Backhaul Networks: Current Status and Potentialscited by 7
  3. 2019Integrated Access Backhauled Networkscited by 4
  4. 2019Topology Aware Deep Learning for Wireless Network Optimizationcited by 4
  5. 2019Deep Reinforcement Learning-Based Topology Optimization for Self-Organized Wireless Sensor Networkscited by 3
  6. 2019Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimizationcited by 3
  7. 2020Scoring the Terabit/s Goal:Broadband Connectivity in 6Gcited by 3
  8. 2014Tractable Model for Rate in Self-Backhauled Millimeter Wave Cellular Networkscited by 2
  9. 2017Integrated mmWave Access and Backhaul in 5G: Bandwidth Partitioning and Downlink Analysiscited by 2
  10. 2018Distributed Path Selection Strategies for Integrated Access and Backhaul at mmWavescited by 2
  11. 2018UAV-Based in-band Integrated Access and Backhaul for 5G Communicationscited by 2
  12. 2016Joint load balancing and interference mitigation in 5G HETNETScited by 1
3 more
  1. 2018End-to-End Simulation of Integrated Access and Backhaul at mmWavescited by 1
  2. 2019Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networkscited by 1
  3. 2019Integrated Access and Backhaul in 5G mmWave Networks: Potentials and Challengescited by 1

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Cited by year

Citing papers per year: 2022: 2; 2023: 1; 2024: 0; 2025: 1.

4 papers.

  1. 2022Constrained Deployment Optimization in Integrated Access and Backhaul Networkscited by 2
  2. 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaulcited by 0
  3. 2023Beamforming in Wireless Coded-Caching Systemscited by 0
  4. 2025Reconfigurable Intelligent Surfaces-Assisted Integrated Access and Backhaulcited by 0