Fairness for Non-Orthogonal Multiple Access in 5G Systems

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) prob...

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Vydáno v:IEEE signal processing letters Ročník 22; číslo 10; s. 1647 - 1651
Hlavní autoři: Timotheou, Stelios, Krikidis, Ioannis
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
convex optimization
Downlink
Fading
fairness
Linear programming
NOMA
Optimization
outage probability
Resource management
Signal processing algorithms
Silicon carbide
ISSN:1070-9908, 1558-2361
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2015.2417119