Cargando…
An optimal algorithm for mmWave 5G wireless networks based on neural network
Fifth generation (5G) wireless networks are based on the use of spectrum blocks above 6 GHz in the millimeter wave (mmWave) range to increase throughput and reduce the overall level of interference in very busy frequency bands below 6 GHz. With the global deployment of the first commercial installat...
Autores principales: | Chen, Liang, Sefat, Shebnam M., Kim, Ki-Il |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320281/ https://www.ncbi.nlm.nih.gov/pubmed/37416690 http://dx.doi.org/10.1016/j.heliyon.2023.e17580 |
Ejemplares similares
-
Wireless localization for mmWave networks in urban environments
por: Ruble, Macey, et al.
Publicado: (2018) -
Self-Optimizing Traffic Steering for 5G mmWave Heterogeneous Networks
por: Zeng, Jun, et al.
Publicado: (2022) -
mmS-TCP: Scalable TCP for Improving Throughput and Fairness in 5G mmWave Networks
por: Kim, Geon-Hwan, et al.
Publicado: (2022) -
Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network
por: Koutsioumpos, Michael, et al.
Publicado: (2020) -
MmWave Physical Layer Network Modeling and Planning for Fixed Wireless Access Applications
por: De Beelde, Brecht, et al.
Publicado: (2023)