Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT

Journal article

Zhang, J., Zhu, Y., Ma, S., Li, X. and Wong, K.K. (2020). Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT. IEEE Communications Letters. 24 (11), pp. 2454-2458. https://doi.org/10.1109/lcomm.2020.3010422
AuthorsZhang, J., Zhu, Y., Ma, S., Li, X. and Wong, K.K.
Abstract

This letter studies the multiple-input single-output (MISO) non-orthogonal multiple-access (NOMA) downlink using regularized zero-forcing (RZF) precoding with imperfect channel state information (CSI). We first propose a new user scheduling scheme based on imperfect CSI and a model to characterize the channel correlation between the weak and strong users. Then we derive an approximate expression of the ergodic sum-rate using large-system random matrix theory. This approximation permits us to derive the optimal power allocation scheme that satisfies the rate requirement of the weak users. Simulation results are presented to confirm the accuracy of the approximation and reveal the relationships between the ergodic sum-rate, the channel correlation, and other system parameters.

Year2020
JournalIEEE Communications Letters
Journal citation24 (11), pp. 2454-2458
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN1089-7798
Digital Object Identifier (DOI)https://doi.org/10.1109/lcomm.2020.3010422
Publication dates
Print20 Jul 2020
Publication process dates
Deposited22 Jul 2020
Accepted author manuscript
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Open
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