TY - JOUR
T1 - On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach
AU - Madapatha, Charitha
AU - Makki, Behrooz
AU - Muhammad, Ajmal
AU - Dahlman, Erik
AU - Alouini, Mohamed-Slim
AU - Svensson, Tommy
N1 - KAUST Repository Item: Exported on 2021-09-29
Acknowledgements: This work was supported in part by VINNOVA (Swedish Government Agency for Innovation Systems) within the VINN Excellence Center ChaseOn and in part by the European Commission through the H2020 project Hexa-X (Grant Agreement no. 101015956). The work of C. Madapatha in this publication is part of his research work at Chalmers University of Technology.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/672016
UR - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9548327
U2 - 10.1109/OJCOMS.2021.3114669
DO - 10.1109/OJCOMS.2021.3114669
M3 - Article
SN - 2644-125X
SP - 1
EP - 1
JO - IEEE Open Journal of the Communications Society
JF - IEEE Open Journal of the Communications Society
ER -