Self-Competence Learning for Bandwidth Slicing and Confidential Computing Requirement

This work proposes a Self-Competence Learning bandwidth slicing method (SCL) to determine the quantity and position of each slice's spectrum resources considering the channel diversity and varying bandwidth requirements. SCL obtains high throughput in the following aspects: (1) SCL provides art...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.169156-169160
1. Verfasser:	Chen, Yen-Hung
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Bandwidth Bandwidths Channel allocation Computational modeling confidential computing federal learning Kernel Learning network slicing Resource management Slicing Spectrum allocation Throughput Training
Online-Zugang:	Volltext
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