On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9548327/ |
| _version_ | 1828383541724971008 |
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| author | Charitha Madapatha Behrooz Makki Ajmal Muhammad Erik Dahlman Mohamed-Slim Alouini Tommy Svensson |
| author_facet | Charitha Madapatha Behrooz Makki Ajmal Muhammad Erik Dahlman Mohamed-Slim Alouini Tommy Svensson |
| author_sort | Charitha Madapatha |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T04:50:53Z |
| format | Article |
| id | doaj.art-3827ff87a16d4fb88f3154f32939831e |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-12-10T04:50:53Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-3827ff87a16d4fb88f3154f32939831e2022-12-22T02:01:37ZengIEEEIEEE Open Journal of the Communications Society2644-125X2021-01-0122273229110.1109/OJCOMS.2021.31146699548327On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based ApproachCharitha Madapatha0https://orcid.org/0000-0003-3364-282XBehrooz Makki1https://orcid.org/0000-0001-7863-997XAjmal Muhammad2Erik Dahlman3https://orcid.org/0000-0003-0057-4410Mohamed-Slim Alouini4https://orcid.org/0000-0003-4827-1793Tommy Svensson5https://orcid.org/0000-0002-2579-9002Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, SwedenEricsson Research, Ericsson, Göteborg, SwedenEricsson Research, Ericsson, Kista, SwedenEricsson Research, Ericsson, Kista, SwedenDepartment of Computer, Electrical, and Mathematical Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaDepartment of Electrical Engineering, Chalmers University of Technology, Gothenburg, SwedenIn 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.https://ieeexplore.ieee.org/document/9548327/Integrated access and backhaulIABgenetic algorithmnode selectiontopology optimizationdensification |
| spellingShingle | Charitha Madapatha Behrooz Makki Ajmal Muhammad Erik Dahlman Mohamed-Slim Alouini Tommy Svensson On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach IEEE Open Journal of the Communications Society Integrated access and backhaul IAB genetic algorithm node selection topology optimization densification |
| title | On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach |
| title_full | On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach |
| title_fullStr | On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach |
| title_full_unstemmed | On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach |
| title_short | On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach |
| title_sort | on topology optimization and routing in integrated access and backhaul networks a genetic algorithm based approach |
| topic | Integrated access and backhaul IAB genetic algorithm node selection topology optimization densification |
| url | https://ieeexplore.ieee.org/document/9548327/ |
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