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
Authors | Zhang, J., Zhu, Y., Ma, S., Li, X. and Wong, K.K. |
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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. |
Year | 2020 |
Journal | IEEE Communications Letters |
Journal citation | 24 (11), pp. 2454-2458 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISSN | 1089-7798 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/lcomm.2020.3010422 |
Publication dates | |
20 Jul 2020 | |
Publication process dates | |
Deposited | 22 Jul 2020 |
Accepted author manuscript | License File Access Level Open |
Additional information | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Page range | 1-1 |
https://openresearch.lsbu.ac.uk/item/8q277
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Accepted author manuscript
MISO Downlink NOMA_CL_v6 -Final.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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