Machine learning for non-orthogonal multiple access
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Machine learning for non-orthogonal multiple access
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Machine learning for non-orthogonal multiple access
Popis výsledku anglicky
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.
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Intelligent Communication Networks: Research and Applications
ISBN
978-1-00-330311-4
Počet stran výsledku
19
Strana od-do
135-153
Počet stran knihy
256
Název nakladatele
CRC Press
Místo vydání
Florida
Kód UT WoS kapitoly
—