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Joint Path Selection and Resource Allocation in Multi-Hop mmWave-based IAB Systems

Tafintsev, Nikita; Moltchanov, Dmitri; Yeh, Shu-ping; Nikopour, Hosein; Mao, Wei; Orhan, Oner; Talwar, Shilpa; Valkama, Mikko; Andreev, Sergey (2023)

 
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Tafintsev, Nikita
Moltchanov, Dmitri
Yeh, Shu-ping
Nikopour, Hosein
Mao, Wei
Orhan, Oner
Talwar, Shilpa
Valkama, Mikko
Andreev, Sergey
2023

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doi:10.1109/ICC45041.2023.10279180
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202310309216

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Peer reviewed
Tiivistelmä
Recently proposed by 3GPP, Integrated Access and Backhaul (IAB) technology promises to deliver a cost-efficient and flexible solution for network densification in 5G/6G systems. Since IAB architecture is based on multi-hop topology and advanced functionalities, such as multi-connectivity transmission and multi-routing, the potential utilization of IAB systems raises an issue of efficient system design. In this paper, we develop an optimization framework capable of jointly selecting transmission paths and allocating radio resources in compliance with half-duplexing and interference constraints. The presented numerical results illustrate that directional mm Wave beams employed at the wireless backhaul are essential for capacity boosting, thus allowing to fully exploit the radio resources in self-backhauled systems. We also establish that the multi-hop IAB topology provides advantages in terms of end-to-end user throughput as compared to single-hop systems.
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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste