Minimization of Energy and Service Latency Computation Offloading using Neural Network in 5G NOMA System

The future Internet of Things (IoT) era is anticipated to support computation-intensive and time-critical applications using edge computing for mobile (MEC), which is regarded as promising technique. However, the transmitting uplink performance will be highly impacted by the hostile wireless channel...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	International Journal of Electronics and Telecommunications Ročník 69; číslo 4; s. 661 - 667
Hlavní autori:	Suprith, P.G, Riyaz Ahmed, Mohammed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Warsaw Polish Academy of Sciences 01.01.2023
Predmet:	5G mobile communication Algorithms Cloud computing Computation offloading deep q network algorithm Edge computing Electric power distribution Energy consumption Internet of Things latency optimized Least squares Mobile computing mobile edge computing Network latency Neural networks Optimization Power management
ISSN:	2081-8491, 2300-1933
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!