Optimising Performance for NB-IoT UE Devices through Data Driven Models

Optimising Performance for NB-IoT UE Devices through Data Driven Models

This paper presents a data driven framework for performance optimisation of Narrow-Band IoT user equipment. The proposed framework is an edge micro-service that suggests one-time configurations to user equipment communicating with a base station. Suggested configurations are delivered from a Configu...

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Bibliographic Details
Main Authors: Omar Nassef, Toktam Mahmoodi, Foivos Michelinakis, Kashif Mahmood, Ahmed Elmokashfi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Journal of Sensor and Actuator Networks
Subjects:
NB-IoT
internet of things
reinforcement learning
gradient descent
genetic algorithm
deep learning
Online Access:https://www.mdpi.com/2224-2708/10/1/21

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https://www.mdpi.com/2224-2708/10/1/21

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