Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/10500
Title: | User selection for millimeter wave non-uniform full dimensional MIMO | Authors: | Cumalı, İrem Özbek, Berna Mumtaz, Rao Gonzalez, Jonathan |
Keywords: | Millimeter wave communication MIMO communication Antenna arrays Transceivers Azimuth Millimeter wave technology Full dimensional MIMO Millimeter waves User selection |
Publisher: | IEEE | Abstract: | The millimeter wave (mmWave) based full-dimensional (FD) MIMO communication is one of the promising technology to fulfill the demand of high data rate for the sixth generation (6G) services including 6D hologram, haptic and multi-sensory communications. In order to satisfy the requirements of 6G applications, we investigate a non-uniform rectangular array (NURA) structure with FD-MIMO antenna systems for the multiuser mmWave communications. For the dense scenarios where the number of users to be served is high, we propose user selection algorithms for both digital and hybrid transceiver designs in FD-MIMO with NURA for the multiuser mmWave communications. For the digital transceivers, the users are selected based on their channel correlation considering FD-MIMO with NURA structures. For the hybrid transceivers, sequential user and beam selection is performed using the correlation between the beamspace channels in FD-MIMO with NURA case. The superiority of the NURA compared to uniform antenna structure is shown through the performance evaluations in the multiuser mmWave communications. Besides, the sum data rate results and complexity analysis denote the feasibility of the proposed algorithms compared to the joint user and beam selection schemes. | URI: | https://doi.org/10.1109/ACCESS.2020.3031466 https://hdl.handle.net/11147/10500 |
ISSN: | 2169-3536 |
Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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File | Size | Format | |
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User_Selection.pdf | 5.32 MB | Adobe PDF | View/Open |
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