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Fairness for Non-Orthogonal Multiple Access in 5G Systems

Open access
Timotheou, Stelios, Krikidis, Ioannis·2015·IEEE Signal Processing Letters

Abstract

In non-orthogonal multiple access (NOMA) downlink, multiple data flows are superimposed in the power domain and user decoding is based on successive interference cancellation. NOMA's performance highly depends on the power split among the data flows and the associated power allocation (PA) problem. In this letter, we study NOMA from a fairness standpoint and we investigate PA techniques that ensure fairness for the downlink users under i) instantaneous channel state information (CSI) at the transmitter, and ii) average CSI. Although the formulated problems are non-convex, we have developed low-complexity polynomial algorithms that yield the optimal solution in both cases considered.

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Metadata

Authors
Timotheou, S., & Krikidis, I.
Venue
IEEE Signal Processing Letters
Published
2015-10
Volume
22
Issue
10
Pages
1647-1651
ISSN
  • 1070-9908 (ISSN-L)
  • 1558-2361
OpenAlex
W2065365556
Cited by
752
References
2
FWCI
44.43
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fairness for Non-Orthogonal Multiple Access in 5G Systems. https://app.cochat.ai/papers/10.1109/lsp.2015.2417119
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Timotheou, S., & Krikidis, I. (2015). Fairness for Non-Orthogonal Multiple Access in 5G Systems. IEEE Signal Processing Letters. https://doi.org/10.1109/lsp.2015.2417119

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