Machine learning for non-orthogonal multiple access
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021617" target="_blank" >RIV/62690094:18450/24:50021617 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1201/9781003303114-6" target="_blank" >http://dx.doi.org/10.1201/9781003303114-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1201/9781003303114-6" target="_blank" >10.1201/9781003303114-6</a>
Alternative languages
Result language
angličtina
Original language name
Machine learning for non-orthogonal multiple access
Original language description
To achieve the diverse requirements for massive connectivity, low latency, high throughput, high reliability, and better fairness beyond fifth-generation (B5G), wireless networks must employ nonorthogonal multiple access (NOMA), a key enabling technology. The primary principle of NOMA is to accommodate multiple users within a shared resource block. Numerous B5G multiple access systems proposed in recent times can be considered specific implementations of the NOMA principle, which serves as a universal framework for such systems. This chapter summarizes the latest innovations, research findings, and applications in NOMA. It delves into the papers included in this special issue and examines their contributions in the context of existing research. Additionally, it highlights the upcoming research challenges associated with NOMA in the context of B5G and future generations.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Intelligent Communication Networks: Research and Applications
ISBN
978-1-00-330311-4
Number of pages of the result
19
Pages from-to
135-153
Number of pages of the book
256
Publisher name
CRC Press
Place of publication
Florida
UT code for WoS chapter
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