Artificial Intelligence Aided Low Complexity RRM Algorithms for 5G-MBS

For the upcoming 5G-Advanced, the multicast/broadcast services (5G-MBS) capability is one of the most appealing use cases. The effective integration of point-to-multipoint communication will address the ever-growing traffic demands, disruptive multimedia services, massive connectivity, and low-laten...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on broadcasting Ročník 70; číslo 1; s. 1 - 0
Hlavní autoři:	Pupo, Ernesto Fontes, Gonzalez, Claudia Carballo, Montalban, Jon, Angueira, Pablo, Murroni, Maurizio, Iradier, Eneko
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	5G mobile communication 5G-MBS Algorithms Artificial intelligence Cluster analysis Clustering Complexity computational complexity Machine learning Millimeter wave communication Millimeter waves mmWave multicast access techniques Multicast algorithms Multicasting Multimedia NOMA Proposals Quality of service Resource allocation Resource management Vector quantization
ISSN:	0018-9316, 1557-9611
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!