Challenges in Wireless Communication Channel Characteristic Identification using Machine Learning: A Review

<abstract><p>Data-driven and feedback cycle-based approaches are necessary to optimize the performance of modern complex wireless communication systems. Machine learning technologies can provide solutions for these requirements. This study shows a comprehensive framework of optimizing wireless communication systems and proposes two optimal decision schemes that have not been well-investigated in existing research. The first one is supervised learning modeling and optimal decision making by optimization, and the second is a simple and implementable reinforcement learning algorithm. The proposed schemes were verified through real-world experiments and computer simulations, which revealed the necessity and validity of this research.</p></abstract>

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Applications of Machine Learning in Wireless Communication: 5G and Beyond

10.1201/9781003175155-7 ◽

2021 ◽

pp. 149-162

Author(s):

Rohini Devnikar ◽

Vaibhav Hendre

Keyword(s):

Machine Learning ◽

Wireless Communication ◽

Applications Of Machine Learning

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Research of the Channel Estimation in Wireless Communication Systems

ITM Web of Conferences ◽

10.1051/itmconf/20192501002 ◽

2019 ◽

Vol 25 ◽

pp. 01002 ◽

Cited By ~ 1

Author(s):

Lili Zhao ◽

Peng Zhang ◽

Qicai Dong ◽

Xiangyang Huang ◽

Jianhua Zhao ◽

...

Keyword(s):

Wireless Communication ◽

Channel Estimation ◽

Communication Technology ◽

Communication Systems ◽

Communication Channel ◽

Data Transfer ◽

Estimation Methods ◽

Wireless Communication Systems ◽

Data Transfer Rate

Wireless communication technology has been developed rapidly after entering the 21st century. Data transfer rate increased significantly as well as the bandwidth became wider and wider from 2G to 4G in wireless communication systems. Channel estimation is an import part of any communication systems; its accuracy determines the quality of the whole communication. Channel estimation methods of typical wireless communication systems such as UWB, 2G and 3G have been researched.

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Measuring the Distance between an Emitter and a Receiver in the Wireless Communication Channel by Ultrawideband Chaotic Radio Pulses

Technical Physics Letters ◽

10.1134/s1063785019090037 ◽

2019 ◽

Vol 45 (9) ◽

pp. 853-857 ◽

Cited By ~ 1

Author(s):

E. V. Efremova ◽

A. S. Dmitriev ◽

L. V. Kuzmin

Keyword(s):

Wireless Communication ◽

Communication Channel

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Intelligent wireless communication establishment with fault free IoT enabled machine learning strategies

Materials Today Proceedings ◽

10.1016/j.matpr.2020.06.214 ◽

2020 ◽

Vol 33 ◽

pp. 3770-3774

Author(s):

Timothy Dhayakar Paul ◽

Navaneeth Malingan ◽

P.M. Sneha Angeline

Keyword(s):

Machine Learning ◽

Wireless Communication ◽

Learning Strategies

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Development of a Self-Contained Sensor Bearing for Rail Applications

Rail Transportation ◽

10.1115/imece2002-33243 ◽

2002 ◽

Author(s):

Michael L. French ◽

Samuel R. Williams

Keyword(s):

Wireless Communication ◽

Laboratory Test ◽

Mechanical System ◽

Test Data ◽

Vibration Analysis ◽

Communication Channel ◽

System Development ◽

Vibration Signal ◽

Computationally Efficient ◽

Computationally Efficient Algorithms

This paper discusses bearing borne sensor system development efforts for use in monitoring the rail bearing and connected mechanical system. The measurement of speed, temperature, and vibration are considered. In the area of vibration analysis, particular emphasis is placed on the use of computationally efficient algorithms for use in parameterization of the vibration signal. Results from laboratory test data are presented. Finally, the relative merits of a wired versus a wireless communication channel, at the bearing level, are discussed.

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