iRAF: A deep reinforcement learning approach for collaborative mobile edge computing IoT networks

J Chen, S Chen, Q Wang, B Cao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Recently, as the development of artificial intelligence (AI), data-driven AI methods have
shown amazing performance in solving complex problems to support the Internet of Things …

[HTML][HTML] An intelligent task offloading algorithm (iTOA) for UAV edge computing network

J Chen, S Chen, S Luo, Q Wang, B Cao, X Li - Digital Communications and …, 2020 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has emerged as a promising technology for the
support of human activities, such as target tracking, disaster rescue, and surveillance …

Role of machine learning in communication networks

V Kaur, A Singh - Intelligent Communication and Automation …, 2021 - taylorfrancis.com
This chapter focuses on machine learning techniques that can be deployed in the
communication networks at different stages of their usage, including traffic control, routing of …

Customer Premises Equipment (CPE) Diagnostics Tool and Network Performance Analysis using Machine Learning

WAAM Hisham, FC Seman - Evolution in Electrical and …, 2021 - publisher.uthm.edu.my
In today's era, DSL technology is growing rapidly which support high speed data
transmission of a network between 2Hz to 20KHz as well as increase the fault rate. This …

[PDF][PDF] Machine Learning Classification of Wireless Communication Signals

L Song, J Booth, A Ewaisha, A Spanias… - sensip.engineering.asu.edu
The ability to differentiate between various wireless communication systems such as 4G
networks can be especially important in cognitive radios and in decoding unknown …

[PDF][PDF] Machine Learning Channel Estimation of Wireless Communication Signals

L Song, J Booth, A Ewaisha, A Spanias… - sensip.engineering.asu.edu
In this paper, machine learning is implemented for channel estimation. While channels can
be individually estimated, it may become inefficient and difficult in large multiple-input …