Cargando…
Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework
Cellular broadband Internet of Things (IoT) applications are expected to keep growing year-by-year, generating demands from high throughput services. Since some of these applications are deployed over licensed mobile networks, as long term evolution (LTE), one already common problem is faced: the sc...
Autores principales: | de C. Neto, José M., Neto, Sildolfo F. G., M. de Santana, Pedro, de Sousa, Vicente A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181158/ https://www.ncbi.nlm.nih.gov/pubmed/32230829 http://dx.doi.org/10.3390/s20071855 |
Ejemplares similares
-
A Multiarmed Bandit Approach for LTE-U/Wi-Fi Coexistence in a Multicell Scenario
por: Diógenes do Rego, Iago, et al.
Publicado: (2023) -
Coexistence Scheme for Uncoordinated LTE and WiFi Networks Using Experience Replay Based Q-Learning
por: Girmay, Merkebu, et al.
Publicado: (2021) -
Seismic Exploration Wireless Sensor System Based on Wi-Fi and LTE
por: Yin, Zhiyuan, et al.
Publicado: (2020) -
MIMO-OFDM for LTE Wi-Fi and WiMAX: coherent versus non-coherent and cooperative turbo-transceivers
por: Hanzo, Lajos, et al.
Publicado: (2011) -
Coexistence of WiFi and WiMAX Systems Based on PS-Request Protocols(†)
por: Kim, Jongwoo, et al.
Publicado: (2011)