On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach
Authors/Creators
- 1. Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
- 2. Ericsson research, Lindholmen, Sweden, 417 56 G¨oteborg, Sweden
- 3. Ericsson research, Kista, Sweden, P.O. Box 16440
- 4. Computer, Electrical and Mathematical Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
Description
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.
Files
OJ-COMS_Chalmers_Sep2021.pdf
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(3.6 MB)
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