Optimal packet length for non orthogonal multiple access
Ghassan Alnwaimi () and
Hatem Boujemaa ()
Additional contact information
Ghassan Alnwaimi: King Abdulaziz University
Hatem Boujemaa: COSIM-SUP’COM
Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 79, issue 3, No 3, 357-367
Abstract:
Abstract In this paper, we maximize the throughput in Non Orthogonal Multiple Access (NOMA). Two approaches are presented to maximize either the average or instantaneous throughput. We optimize packet length to maximize the average throughput at any NOMA user. We also maximize the average total throughput. The total throughput is the sum of the throughput of all users. The second approach consists to adapt packet length to maximize the instantaneous throughput at any NOMA user. The optimization is performed in the presence of multiple NOMA users for Rayleigh and Nakagami fading channels.
Keywords: NOMA; Packet length optimization; Packet error probability; Throughput (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11235-021-00852-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:79:y:2022:i:3:d:10.1007_s11235-021-00852-4
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235
DOI: 10.1007/s11235-021-00852-4
Access Statistics for this article
Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan
More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().