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Bandwidth Minimization under Probabilistic Constraints and Statistical CSI for NOMA

Rusek, Fredrik LU ; Chitti, Krishna LU and Chaitanya, Tumula (2018) 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall) In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017
Abstract
Non-Orthogonal Multiple Access (NOMA) is studied under statistical Channel State Information (CSI) and probabilistic constraints. Unlike the conventional power domain only NOMA, the definition of NOMA here considers both the power and the frequency domains simultaneously, where a flat power spectrum is assumed for each UE. This increases the capacity region when compared to the conventional definition. The problem of minimizing the number of consumed resource elements (REs) while satisfying the outage constraints is solved. An RE here is a frequency slot of unit bandwidth resolution, so the considered problem translates to a saving in bandwidth. The solution techniques involve a Gaussian Approximation of NOMA user rates and an offline... (More)
Non-Orthogonal Multiple Access (NOMA) is studied under statistical Channel State Information (CSI) and probabilistic constraints. Unlike the conventional power domain only NOMA, the definition of NOMA here considers both the power and the frequency domains simultaneously, where a flat power spectrum is assumed for each UE. This increases the capacity region when compared to the conventional definition. The problem of minimizing the number of consumed resource elements (REs) while satisfying the outage constraints is solved. An RE here is a frequency slot of unit bandwidth resolution, so the considered problem translates to a saving in bandwidth. The solution techniques involve a Gaussian Approximation of NOMA user rates and an offline empirical approach based on tail distributions. Numerical results show that the former is a good approximation while the latter provides exact results. In any case, these methods outperform the orthogonal multiple access techniques. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
external identifiers
  • scopus:85045255717
ISBN
978-1-5090-5935-5
978-1-5090-5936-2
DOI
10.1109/VTCFall.2017.8288401
language
English
LU publication?
yes
id
8d44f018-ffd5-43d9-a9e4-299a3b39397c
date added to LUP
2018-02-08 09:58:26
date last changed
2018-05-29 10:26:53
@inproceedings{8d44f018-ffd5-43d9-a9e4-299a3b39397c,
  abstract     = {Non-Orthogonal Multiple Access (NOMA) is studied under statistical Channel State Information (CSI) and probabilistic constraints. Unlike the conventional power domain only NOMA, the definition of NOMA here considers both the power and the frequency domains simultaneously, where a flat power spectrum is assumed for each UE. This increases the capacity region when compared to the conventional definition. The problem of minimizing the number of consumed resource elements (REs) while satisfying the outage constraints is solved. An RE here is a frequency slot of unit bandwidth resolution, so the considered problem translates to a saving in bandwidth. The solution techniques involve a Gaussian Approximation of NOMA user rates and an offline empirical approach based on tail distributions. Numerical results show that the former is a good approximation while the latter provides exact results. In any case, these methods outperform the orthogonal multiple access techniques.},
  author       = {Rusek, Fredrik and Chitti, Krishna and Chaitanya, Tumula},
  booktitle    = {2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017},
  isbn         = {978-1-5090-5935-5},
  language     = {eng},
  month        = {02},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Bandwidth Minimization under Probabilistic Constraints and Statistical CSI for NOMA},
  url          = {http://dx.doi.org/10.1109/VTCFall.2017.8288401},
  year         = {2018},
}