Bandwidth Minimization under Probabilistic Constraints and Statistical CSI for NOMA
(2018) 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)- 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8d44f018-ffd5-43d9-a9e4-299a3b39397c
- author
- Rusek, Fredrik LU ; Chitti, Krishna LU and Chaitanya, Tumula
- organization
- publishing date
- 2018-02-12
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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)
- conference location
- Toronto, Canada
- conference dates
- 2017-09-24 - 2017-09-27
- 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
- 2024-03-18 04:55:19
@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}}, doi = {{10.1109/VTCFall.2017.8288401}}, year = {{2018}}, }