Massive mimo-noma networks with imperfect sic: Design and fairness enhancement

Arthur Sousa De Sena, Francisco Rafael Marques Lima, Daniel Benevides Da Costa, Zhiguo Ding, Pedro H.J. Nardelli, Ugo Silva Dias, Constantinos B. Papadias

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

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.

Original languageBritish English
Article number9115309
Pages (from-to)6100-6115
Number of pages16
JournalIEEE Transactions on Wireless Communications
Volume19
Issue number9
DOIs
StatePublished - Sep 2020

Keywords

  • Fairness maximization
  • Imperfect SIC
  • Massive MIMO
  • NOMA

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