1160334
doi
10.1109/ICCW.2017.7962655
oai:zenodo.org:1160334
user-eu
Tran, Gia Khanh
Tokyo Institute of Technology, Japan
Sakaguchi, Kei
Tokyo Institute of Technology, Japan
Haustein, Thomas
Fraunhofer HHI, Germany
Traffic adaptive formation of mmWave meshed backhaul networks
Ogawa, Hiroaki
Tokyo Institute of Technology, Japan
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Long Term Evolution, Power demand, Logic gates, Wireless communication, Relays, Multiplexing, 5G mobile communication
<p>MmWave meshed network is a promising<br>
architecture for cost-efficient wireless backhaul<br>
of millimeter-wave overlay heterogeneous network<br>
(mmWave overlay HetNet). As user distribution in<br>
practice is time-variant and spatially non-uniform,<br>
mmWave meshed backhaul should be controlled adaptively.<br>
This paper proposes a novel method to control<br>
mmWave meshed backhaul for efficient operation of<br>
mmWave overlay HetNet. Our algorithm is featured by<br>
two functionalities, i.e. backhauling route multiplexing<br>
for overloaded mmWave small cell base stations (SCBSs)<br>
and mmWave SC-BSs’ ON/OFF status switching<br>
for underloaded spot. Considering practical user<br>
distribution, radio backhaul resources should be concentrated<br>
on overloaded mmWave SC-BSs. Inversely,<br>
underloaded mmWave SC-BSs should be deactivated<br>
for saving power. The performance of mmWave meshed<br>
backhaul controlled by the proposed algorithm is evaluated<br>
by system level simulation. Numerical results show<br>
that the proposed algorithm can cope with the locally<br>
intensive traffic, network scalability, and can reduce<br>
energy consumption.</p>
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Zenodo
2017-07-03
info:eu-repo/semantics/conferencePaper
1160333
user-eu
award_title=5G-Crosshaul: The 5G Integrated fronthaul/backhaul; award_number=671598; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/671598; funder_id=00k4n6c32; funder_name=European Commission;
1579538813.809775
417475
md5:eeb2590c849752ffb129fefb2b1b3915
https://zenodo.org/records/1160334/files/Traffic Adaptive Formation of mmWave Meshed Backhaul Networks.pdf
public