Zhu, Jinle and Li, Qiang and Liu, Zilong and Chen, Hongyang and Poor, H Vincent (2022) Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA Systems. IEEE Transactions on Wireless Communications, 21 (3). pp. 2034-2050. DOI https://doi.org/10.1109/twc.2021.3109053
Zhu, Jinle and Li, Qiang and Liu, Zilong and Chen, Hongyang and Poor, H Vincent (2022) Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA Systems. IEEE Transactions on Wireless Communications, 21 (3). pp. 2034-2050. DOI https://doi.org/10.1109/twc.2021.3109053
Zhu, Jinle and Li, Qiang and Liu, Zilong and Chen, Hongyang and Poor, H Vincent (2022) Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA Systems. IEEE Transactions on Wireless Communications, 21 (3). pp. 2034-2050. DOI https://doi.org/10.1109/twc.2021.3109053
Abstract
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are two key enabling technologies for the fifth-generation (5G) mobile networks and beyond. In this paper, we consider uplink communications with a hybrid beamforming structure and focus on improving the spectral efficiency (SE) and energy efficiency (EE) of mmWave multiple-input multiple-output (MIMO)-NOMA systems with enhanced user grouping and power allocation. It is noted that the optimization of the SE/EE is a challenging task due to the non-linear programming nature of the corresponding problem involving user grouping, beam selection, and power allocation. Our idea is to decompose the overall optimization problem into a mixed integer problem comprised of user grouping and beam selection only, followed by a continuous problem involving power allocation and digital beamforming design. Exploiting the directionality property of mmWave channels, we first propose a novel initial agglomerative nesting (AGNES) based user grouping algorithm by taking advantage of the channel correlations. To avoid the prohibitively high complexity of the brute-force search approach and to address the overlapping beam problem, we propose two suboptimal low-complexity user grouping and beam selection schemes, the two-stage direct AGNES (D-AGNES) scheme and the joint successive AGNES (S-AGNES) scheme. We also introduce the quadratic transform (QT) to recast the non-convex power allocation optimization problem into a convex one subject to a minimum required data rate of each user. The continuous problem is solved by iteratively optimizing the power and the digital beamforming. Extensive simulation results have shown that our proposed mmWave-NOMA design outperforms the conventional orthogonal multiple access (OMA) scenario and the state-of-art NOMA schemes.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | MIMO; mmWave; NOMA; user grouping; beam selection; power allocation |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 06 Sep 2022 10:52 |
Last Modified: | 16 May 2024 20:55 |
URI: | http://repository.essex.ac.uk/id/eprint/33403 |
Available files
Filename: 2010.10980.pdf