Unsupervised machine learning-based user clustering in millimeter-wave-NOMA systems

J Cui, Z Ding, P Fan, N Al-Dhahir - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
… new users keep arriving in a continuous fashion, we propose a K-means-based online user
clustering … the performance of the proposed mm-wave-NOMA system, we derive the optimal …

Stackelberg game for user clustering and power allocation in millimeter wave-NOMA systems

K Wang, J Cui, Z Ding, P Fan - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
… In order to explore the potentiality of the proposed mmwave-NOMA system, user clustering
and power allocation are jointly investigated in this section. More specifically, with the fixed …

Clustering and power optimization in mmWave massive MIMO–NOMA systems

S Wang, Y Long, R Ruby, X Fu - Physical Communication, 2021 - Elsevier
millimeter wave (mmWave) band and improving system spectrum efficiency. In this paper, we
consider the downlink operation of MIMO–NOMA systems, … A clustering strategy and a joint …

User clustering in mmWave-NOMA systems with user decoding capability constraints for B5G networks

AS Rajasekaran, O Maraqa, HU Sokun… - IEEE …, 2020 - ieeexplore.ieee.org
… ABSTRACT This paper proposes a millimeter wave-NOMA (mmWave-NOMA) system that
… each users target rates are met. The focus of this paper is user clustering and user ordering. …

Hierarchical user clustering for mmwave-NOMA systems

D Marasinghe, N Jayaweera… - 2020 2nd 6G …, 2020 - ieeexplore.ieee.org
… of users … for clustering the users in a mmWaveNOMA system with the objective of maximizing
the sum-rate. An unsupervised machine learning technique, namely, hierarchical clustering

[PDF][PDF] Unsupervised machine learning based user clustering in mmwave-NOMA systems

J Cui, Z Ding, P Fan, N Al-Dhahir - IEEE T Wirel Commun - academia.edu
users becomes large. Sparked by the correlation features of the users’ channels in
mmWave-NOMA systems, … user clustering. Moreover, for a practical dynamic scenario where the …

Neural network aided user clustering in mmWave-NOMA systems with user decoding capability constraints

AS Rajasekaran, H Yanikomeroglu - IEEE Access, 2023 - ieeexplore.ieee.org
… efficient two-stage machine learning based approach using neural networks to solve the
cluster assignment problem in a millimeter wave-non orthogonal multiple access (mmWave-…

Optimal user scheduling and power allocation for millimeter wave NOMA systems

J Cui, Y Liu, Z Ding, P Fan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
… Furthermore, in [31], a user clustering and power allocation scheme was proposed to … for
mm-Wave networks is still unknown. In this paper, we study the mm-Wave NOMA system, where …

The application of machine learning in mmWave-NOMA systems

J Cui, Z Ding, P Fan - 2018 IEEE 87th Vehicular Technology …, 2018 - ieeexplore.ieee.org
… investigates the user clustering and power allocation problem in the millimeter wave non-…
Moreover, to investigate the performance of the proposed mmWaveNOMA system, we derive …

User clustering and optimized power allocation for D2D communications at mmWave underlaying MIMO-NOMA cellular networks

S Solaiman, L Nassef, E Fadel - IEEE Access, 2021 - ieeexplore.ieee.org
… The core of 5G cellular networks is leveraging wider and higher frequencies available at
millimeter wave frequency (mmWave) bands, thus providing very high data rates for mobile …