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Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimization

Tafintsev, Nikita; Moltchanov, Dmitri; Gerasimenko, Mikhail; Gapeyenko, Margarita; Zhu, Jing; Yeh, Shu-ping; Himayat, Nageen; Andreev, Sergey; Koucheryavy, Yevgeni; Valkama, Mikko (2020)

 
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Backhaul_Limited_Optimization.pdf (701.3Kt)
Lataukset: 

URI
https://arxiv.org/abs/1911.01506


Tafintsev, Nikita
Moltchanov, Dmitri
Gerasimenko, Mikhail
Gapeyenko, Margarita
Zhu, Jing
Yeh, Shu-ping
Himayat, Nageen
Andreev, Sergey
Koucheryavy, Yevgeni
Valkama, Mikko
2020

doi:10.1109/MCOM.001.1900318
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202001241512

Kuvaus

Peer reviewed
Tiivistelmä
The use of unmanned aerial vehicle (UAV)-based communication in millimeter-wave (mmWave) frequencies to provide on-demand radio access is a promising approach to improve capacity and coverage in beyond-5G (B5G) systems. There are several design aspects to be addressed when optimizing for the deployment of such UAV base stations. As traffic demand of mobile users varies across time and space, dynamic algorithms that correspondingly adjust the UAV locations are essential to maximize performance. In addition to careful tracking of spatio-temporal user/traffic activity, such optimization needs to account for realistic backhaul constraints. In this work, we first review the latest 3GPP activities behind integrated access and backhaul system design, support for UAV base stations, and mmWave radio relaying functionality. We then compare static and mobile UAV-based communication options under practical assumptions on the mmWave system layout, mobility and clusterization of users, antenna array geometry, and dynamic backhauling. We demonstrate that leveraging the UAV mobility to serve moving users may improve the overall system performance even in the presence of backhaul capacity limitations.
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Kalevantie 5
PL 617
33014 Tampereen yliopisto
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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste