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Millimeter-wave interference avoidance via building-aware associations

Kim, Jeemin, Park, Jihong, Kim, Seunghwan, Kim, Seong-Lyun, Sung, Ki Won and Kim, Kwang Soon 2018, Millimeter-wave interference avoidance via building-aware associations, IEEE Access, vol. 6, pp. 10618-10634, doi: 10.1109/ACCESS.2018.2800682.

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Title Millimeter-wave interference avoidance via building-aware associations
Author(s) Kim, Jeemin
Park, JihongORCID iD for Park, Jihong orcid.org/0000-0001-7623-6552
Kim, Seunghwan
Kim, Seong-Lyun
Sung, Ki Won
Kim, Kwang Soon
Journal name IEEE Access
Volume number 6
Start page 10618
End page 10634
Total pages 17
Publisher IEEE Access
Place of publication Piscataway, N.J.
Publication date 2018-02
ISSN 2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Millimeter-wave communications
building blockages
base station association
load balancing
average data rate
stochastic geometry
CELLULAR NETWORKS
DESIGN
BLOCKAGE
GHZ
Summary Signal occlusion by building blockages is a double-edged sword for the performance of millimeter-wave (mmW) communication networks. Buildings may dominantly attenuate the useful signals, especially when mmW base stations (BSs) are sparsely deployed compared with the building density. In the opposite BS deployment, buildings can block the undesired interference. To enjoy only the benefit, we propose a building-aware association scheme that adjusts the directional BS association bias of the user equipments (UEs), based on a given building density and the concentration of UE locations around the buildings. The association of each BS can thereby be biased: 1) toward the UEs located against buildings for avoiding interference to other UEs or 2) toward the UEs providing their maximum reference signal received powers. The proposed association scheme is optimized to maximize the downlink average data rate derived by stochastic geometry. Its effectiveness is validated by simulation using real building statistics.
Language eng
DOI 10.1109/ACCESS.2018.2800682
Indigenous content off
HERDC Research category C1.1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139701

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.