Massive MIMO-NOMA Networks With Imperfect SIC: Design and Fairness Enhancement

This paper addresses multi-user multi-cluster massive multiple-input-multiple-output (MIMO) systems with non-orthogonal multiple access (NOMA). Assuming the downlink mode, and taking into consideration the impact of imperfect successive interference cancellation (SIC), an in-depth analytical analysi...

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Bibliographic Details
Published inIEEE transactions on wireless communications Vol. 19; no. 9; pp. 6100 - 6115
Main Authors de Sena, Arthur Sousa, Lima, Francisco Rafael Marques, da Costa, Daniel Benevides, Ding, Zhiguo, Nardelli, Pedro H. J., Dias, Ugo Silva, Papadias, Constantinos B.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computer simulation
Fairness maximization
imperfect SIC
Iterative algorithms
Kuhn-Tucker method
massive MIMO
Mathematical analysis
MIMO (control systems)
MIMO communication
NOMA
Nonorthogonal multiple access
Optimization
Power system reliability
Probability
Resource management
Silicon carbide
Wireless communication
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Summary:This paper addresses multi-user multi-cluster massive multiple-input-multiple-output (MIMO) systems with non-orthogonal multiple access (NOMA). Assuming the downlink mode, and taking into consideration the impact of imperfect successive interference cancellation (SIC), an in-depth analytical analysis is carried out, in which closed-form expressions for the outage probability and ergodic rates are derived. Subsequently, the power allocation coefficients of users within each sub-group are optimized to maximize fairness. The considered power optimization is simplified to a convex problem, which makes it possible to obtain the optimal solution via Karush-Kuhn-Tucker (KKT) conditions. Based on the achieved solution, we propose an iterative algorithm to provide fairness also among different sub-groups. Simulation results alongside with insightful discussions are provided to investigate the impact of imperfect SIC and demonstrate the fairness superiority of the proposed dynamic power allocation policies. For example, our results show that if the residual error propagation levels are high, the employment of orthogonal multiple access (OMA) is always preferable than NOMA. It is also shown that the proposed power allocation outperforms conventional massive MIMO-NOMA setups operating with fixed power allocation strategies in terms of outage probability.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.3000192