… • We develop a joint optimization framework for the mmWave MIMO-HBF-NOMA system,
where joint user grouping and beam selection scheme and power allocation strategy are …

… user grouping method in PD-NOMA and NOMA-2000 over different Rayleigh fading channels.
NOMA-… that our user grouping method performs much better in NOMA systems compared …

… of MIMO channels into disjoint groups. A … be enhanced by selecting the L initial centroids
more effectively. Based on the characteristics of CFmMIMO-NOMA, we propose the improved k-…

… can be further improved by introducing MIMO-NOMA into multi-… -cell MIMO-NOMA networks
in [19]. Sun et al. in [19] first divide … selecting users, then we will ignore the group, which indi…

… Based on channel correlation characteristics, a fast convergence scheme for user clustering
in THz-NOMA-MIMO system using enhanced K-means machine learning algorithm is …

… to perform user grouping for massive MIMO systems [… user grouping, the BNBF user grouping
and so on. Compared with other systems, our QSM-NOMA systems have achieved a better …

… Another approach to improve the SE of MIMONOMA systems is the … Thus, we propose to
group the users according to the … We can see that our clustering approach achieves better …

… NOMA group. Motivated by this, in this paper we propose a novel generalized user grouping
(GuG) concept for NOMA … can predict a better user grouping that has performance gains. …

… the proposed users grouping and RL-based beam selection for MIMO-NOMA using MATLAB.
… Due to the K-means-based users grouping, other schemes perform better with less number …

… of users per group, which enables the users to get better … from the user grouping aspect, we
propose two novel user grouping … equal user constraint to provide additional flexibility in user …