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Communication

Location-Based Resource Allocation in Ultra-Dense Network with Clustering

Department of Electronic Engineering, Korea Polytechnic University, Siheung 15073, Korea
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This paper is an extended version of our paper published in Kim, S.-J.; Kim, J.-G. Resource Allocation in Cluster based Ultra Dense Network. In Proceedings of the 2020 International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, 20–22 October 2020.
Academic Editor: Adrian Kliks
Sensors 2021, 21(12), 4022; https://doi.org/10.3390/s21124022
Received: 5 April 2021 / Revised: 20 May 2021 / Accepted: 8 June 2021 / Published: 10 June 2021
(This article belongs to the Special Issue Emerging Technologies in Communications and Networking: 5G and Beyond)
With the rapid deployment of present-day mobile communication systems, user traffic requirements have increased tremendously. An ultra-dense network is a configuration in which the density of small base stations is greater than or equal to that of the user equipment. Ultra-dense networks are considered as the key technology for 5th generation networks as they can improve the link quality and increase the system capacity. However, in an ultra-dense network, small base stations are densely positioned, so one user equipment may receive signals from two or more small base stations. This may cause a severe inter-cell interference problem. In this study, we considered a coordinated multi-point scenario, a cooperative technology between base stations to alleviate the interference. In addition, to suppress the occurrence of severe interference at the cell edges, link formation was carried out by considering the degree of cell load for each cluster. After the formation of links between all the base stations and user equipment, a subcarrier allocation procedure was performed. The subcarrier allocation method used in this study was based on the location of base stations with clustering to improve the data rate and reduce the interference between the clusters. Power allocation was based on the channel gain between the base station and user equipment. Simulation results showed that the proposed scheme delivered a higher sum rate than the other resource allocation methods reported previously for various types of user equipment. View Full-Text
Keywords: ultra-dense network; clustering; k-means; resource allocation; joint CoMP ultra-dense network; clustering; k-means; resource allocation; joint CoMP
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MDPI and ACS Style

Kim, S.-J.; Kim, J.-G. Location-Based Resource Allocation in Ultra-Dense Network with Clustering. Sensors 2021, 21, 4022. https://doi.org/10.3390/s21124022

AMA Style

Kim S-J, Kim J-G. Location-Based Resource Allocation in Ultra-Dense Network with Clustering. Sensors. 2021; 21(12):4022. https://doi.org/10.3390/s21124022

Chicago/Turabian Style

Kim, Seong-Jung; Kim, Jeong-Gon. 2021. "Location-Based Resource Allocation in Ultra-Dense Network with Clustering" Sensors 21, no. 12: 4022. https://doi.org/10.3390/s21124022

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