Abstract

In this study, we investigate a spatial division multiple access (SDMA) grouping scheme to maximize the total data rate of a multi-user multiple input multiple output (MU-MIMO) system. Initially, we partition the set of mobile stations (MSs) into subsets according to their spatial compatibility. We explore different clustering algorithms, comparing them in terms of computational complexity and capability to partition MSs properly. Since we consider a scenario with a massive arrange of antenna elements and that operates on the mmWave scenario, we employ a hybrid beamforming scheme and analyze its behavior in terms of the total data rate. The analog and digital precoders exploit the channel information obtained from clustering and scheduling, respectively.  The simulation results indicate that a proper partition of MSs into clusters can take advantage of the spatial compatibility effectively and reduce the multi-user (MU) interference. The hierarchical clustering (HC) enhances the total data rate 25% compared with the baseline approach, while the density-based spatial clustering of applications with noise (DBSCAN) increases the total data rate 20%.

Highlights

  • In this study, we investigate a spatial division multiple access (SDMA) grouping scheme to maximize the total data rate of a multi-user multiple input multiple output (MUMIMO) system

  • We investigate how the transmission of multiple data streams over a massive arrange of antenna elements using the same time-frequency resource block can improve spectral efficiency, and the total data rate [2]

  • We evaluate the agglomerative hierarchical clustering (AHC) algorithm in a much more challenging scenario since we consider a larger number of user equipments (UEs) in a random arrangement within the cell

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Summary

SDMA G

The SDMA grouping problem is performed into two steps. We partition the set J of all UEs of the system into a set of clusters C according to the spatial compabiltity of their channels. We select one UE from each cluster to compose the SDMA group G. The following subsections detail the most relevant design aspect of these steps

Clustering in MU-MIMO Systems
Scheduling Algorithm
Analog Precoder Design
Digital Precoder Design
Findings
A C K-M C

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