Integrated Access and Backhaul for 5G and Beyond (6G)
Licentiatavhandling, 2022
Specifically, we analyze IAB networks and develop effective algorithms to improve service coverage probability. In contrast to fiber-connected setups, an IAB network may be affected by, e.g., blockage, tree foliage, and rain loss. Thus, a variety of aspects such as the effects of tree foliage, rain loss, and blocking are evaluated and the network performance when part of the network being non-IAB backhauled is analysed. Furthermore, we evaluate the effect of deployment optimization on the performance of IAB networks.
First, in Paper A, we introduce and analyze IAB as an enabler for network densification. Then, we study the IAB network from different aspects of mmWave-based communications: We study the network performance for both urban and rural areas considering the impacts of blockage, tree foliage, and rain. Furthermore, performance comparisons are made between IAB and networks of which all or part of small BSs are fiber-connected. Following the analysis, it is observed that IAB may be a good backhauling solution with high flexibility and low time-to-market.
The second part of the thesis focuses on improving the service coverage probability by carrying out topology optimization in IAB networks focusing on mmWave communication for different parameters, such as blockage, tree foliage, and antenna gain. In Paper B, we study topology optimization and routing in IAB networks in different perspectives. Thereby, we design efficient Genetic algorithm (GA)-based methods for IAB node distribution and non-IAB backhaul link placement. Furthermore, we study the effect of routing in the cases with temporal blockages. Finally, we briefly study the recent standardization developments, i.e., 3GPP Rel-16 as well as the Rel-17 discussions on routing. As the results show, with a proper planning on network deployment, IAB is an attractive solution to densify the networks for 5G and beyond.
Finally, we focus on improving the performance of IAB networks with constrained deployment optimization. In Paper C, we consider various IAB network models while presenting different algorithms for constrained deployment optimization. Here, the constraints are coming from either inter-IAB distance limitations or geographical restrictions. As we show, proper network planning can considerably improve service coverage probability of IAB networks with deployment constraints.
Stochastic geometry
Node selection
Beyond 5G
Backhaul
6G
Blockage
Coverage probability
Poisson point process (PPP)
Integrated access and backhaul (IAB)
Relay
Constrained deployment
5G new radio (NR)
Tree foliage
Millimeter wave (mmWave) communications
Densification
3GPP
Wireless backhaul
Routing
Genetic algorithm (GA)
Topology optimization
Författare
Charitha Madapatha Madapathage Don
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
On Integrated Access and Backhaul Networks: Current Status and Potentials
IEEE Open Journal of the Communications Society,;Vol. 1(2020)p. 1374-1389
Artikel i vetenskaplig tidskrift
On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-Based Approach
IEEE Open Journal of the Communications Society,;Vol. 2(2021)p. 2273-2291
Artikel i vetenskaplig tidskrift
C. Madapatha, B. Makki, H. Guo, and T. Svensson, “Constrained Deployment Optimization in Integrated Access and Backhaul Networks”. Accepted for publication in IEEE Wireless Communications and Networking Conference(WCNC)’ 2023, Glasgow, United Kingdom.
Joint scheduling and throughput maximization in self-backhauled millimeter wave cellular networks
Proceedings of the International Symposium on Wireless Communication Systems,;Vol. 2021-September(2021)
Paper i proceeding
Uplink Power Control in Integrated Access and Backhaul Networks
2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021,;(2021)
Paper i proceeding
ChaseOn Multiantenna wireless architectures for next-generation wireless systems (Mantua)
VINNOVA, 2017-01-01 -- 2021-12-31.
A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X )
Europeiska kommissionen (EU) (EC/HE/101120332), 2023-10-01 -- 2027-09-30.
Europeiska kommissionen (EU) (EC/2020/101015956), 2021-01-01 -- 2023-06-30.
Ämneskategorier
Datorteknik
Telekommunikation
Kommunikationssystem
Styrkeområden
Informations- och kommunikationsteknik
Drivkrafter
Hållbar utveckling
Innovation och entreprenörskap
Infrastruktur
C3SE (Chalmers Centre for Computational Science and Engineering)
Utgivare
Chalmers
SB3-L112, lecture room, Samhällsbyggnad III, Campus Johanneberg
Opponent: Prof. Stefano Buzzi, University of Cassino and Lazio Meridionale, Italy