User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA Systems

In this paper, we study user grouping, precoding design, and power allocation for multiple-input multiple-output (MIMO) nonorthogonal multiple access (NOMA) systems. An optimization problem is formulated to the maximize the sum rate under a transmit power constraint at a base station and rate constr...

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Main Authors: Byungjo Kim, Jae-Mo Kang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/4/995
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author Byungjo Kim
Jae-Mo Kang
author_facet Byungjo Kim
Jae-Mo Kang
author_sort Byungjo Kim
collection DOAJ
description In this paper, we study user grouping, precoding design, and power allocation for multiple-input multiple-output (MIMO) nonorthogonal multiple access (NOMA) systems. An optimization problem is formulated to the maximize the sum rate under a transmit power constraint at a base station and rate constraints on users, which are nonconvex and combinatorial and thus very challenging to solve. To tackle this problem, we carry out the optimization in two steps. In the first step, exploiting the machine learning technique, we develop an efficient iterative algorithm for user grouping and precoding design. In the second step, we develop a power-allocation scheme in closed form by recasting the original problem into a useful and tractable convex form. The numerical results demonstrate that the proposed joint scheme, including user grouping, precoding design, and power allocation, considerably outperforms the existing schemes in terms of sum rate maximization, which increases the sum-rate up to 8–18%. In addition, the results show the larger the number of antennas or users, the bigger the performance gap, at the cost of less computational complexity.
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spelling doaj.art-2e6f188c2b6446f191d27ed472c4355b2023-11-16T21:56:54ZengMDPI AGMathematics2227-73902023-02-0111499510.3390/math11040995User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA SystemsByungjo Kim0Jae-Mo Kang1Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of KoreaDepartment of Artificial Intelligence, Kyungpook National University, Daegu 41566, Republic of KoreaIn this paper, we study user grouping, precoding design, and power allocation for multiple-input multiple-output (MIMO) nonorthogonal multiple access (NOMA) systems. An optimization problem is formulated to the maximize the sum rate under a transmit power constraint at a base station and rate constraints on users, which are nonconvex and combinatorial and thus very challenging to solve. To tackle this problem, we carry out the optimization in two steps. In the first step, exploiting the machine learning technique, we develop an efficient iterative algorithm for user grouping and precoding design. In the second step, we develop a power-allocation scheme in closed form by recasting the original problem into a useful and tractable convex form. The numerical results demonstrate that the proposed joint scheme, including user grouping, precoding design, and power allocation, considerably outperforms the existing schemes in terms of sum rate maximization, which increases the sum-rate up to 8–18%. In addition, the results show the larger the number of antennas or users, the bigger the performance gap, at the cost of less computational complexity.https://www.mdpi.com/2227-7390/11/4/995MIMOmachine learningNOMApower allocationprecoding designuser clustering
spellingShingle Byungjo Kim
Jae-Mo Kang
User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA Systems
Mathematics
MIMO
machine learning
NOMA
power allocation
precoding design
user clustering
title User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA Systems
title_full User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA Systems
title_fullStr User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA Systems
title_full_unstemmed User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA Systems
title_short User Grouping, Precoding Design, and Power Allocation for MIMO-NOMA Systems
title_sort user grouping precoding design and power allocation for mimo noma systems
topic MIMO
machine learning
NOMA
power allocation
precoding design
user clustering
url https://www.mdpi.com/2227-7390/11/4/995
work_keys_str_mv AT byungjokim usergroupingprecodingdesignandpowerallocationformimonomasystems
AT jaemokang usergroupingprecodingdesignandpowerallocationformimonomasystems