University of Oulu

D. Marasinghe, N. Jayaweera, N. Rajatheva and M. Latva-Aho, "Hierarchical User Clustering for mmWave-NOMA Systems," 2020 2nd 6G Wireless Summit (6G SUMMIT), Levi, Finland, 2020, pp. 1-5, doi: 10.1109/6GSUMMIT49458.2020.9083909

Hierarchical user clustering for mmWave-NOMA systems

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Author: Marasinghe, Dileepa1; Jayaweera, Nalin1; Rajatheva, Nandana1;
Organizations: 1Centre for Wireless Communications, Univeristy of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-07-06


Non-orthogonal multiple access (NOMA) and mmWave are two complementary technologies that can support the capacity demand that arises in 5G and beyond networks. The increasing number of users are served simultaneously while providing a solution for the scarcity of the bandwidth. In this paper we present a method for clustering the users in a mmWave-NOMA system with the objective of maximizing the sum-rate. An unsupervised machine learning technique, namely, hierarchical clustering is utilized which does the automatic identification of the optimal number of clusters. The simulations prove that the proposed method can maximize the sum-rate of the system while satisfying the minimum QoS for all users without the need of the number of clusters as a prerequisite when compared to other clustering methods such as k-means clustering.

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ISBN: 978-1-7281-6047-4
ISBN Print: 978-1-7281-6048-1
Pages: 1 - 5
Article number: 9083909
DOI: 10.1109/6GSUMMIT49458.2020.9083909
Host publication: 2020 2nd 6G Wireless Summit (6G SUMMIT)
Conference: 6G Wireless Summit
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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