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...

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Veröffentlicht in:	International Journal of Electronics and Telecommunications Jg. 69; H. 4; S. 661 - 667
Hauptverfasser:	Suprith, P.G, Riyaz Ahmed, Mohammed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Warsaw Polish Academy of Sciences 01.01.2023
Schlagworte:	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
Online-Zugang:	Volltext
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