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https://doi.org/10.1109/infcom...
Article . 2016 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Article . 2016
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DBLP
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A new NOMA approach for fair power allocation

Authors: Jose Armando Oviedo; Hamid R. Sadjadpour;

A new NOMA approach for fair power allocation

Abstract

A non-orthogonal multiple access (NOMA) approach to user signal power allocation called Fair-NOMA is introduced. Fair-NOMA is the application of NOMA in such a way that two mobile users have the opportunity to always achieve at least the information capacity they can achieve by using orthogonal multiple access (OMA), regardless of the user selection criteria, making it suitable for implementation using any current or future scheduling paradigms. Given this condition, the bounds of the power allocation coefficients are derived as functions of the channel gains of the two mobile users. The NOMA power allocation is analyzed for two scheduled users that are selected randomly with i.i.d. channel gains. The capacity improvements made by each user and the sum capacity improvement are derived.

This paper is published in IEEE INFOCOM 2016 Workshop on 5G & Beyond - Enabling Technologies and Applications; 5 pages, 3 figures

Country
United States
Related Organizations
Keywords

FOS: Computer and information sciences, H.1.1; E.4; C.2.1, 62B10, Computer Science - Information Theory, Information Theory (cs.IT), E.4, 94A15, C.2.1, cs.IT, math.IT, H.1.1, 94A15, 62B10

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green