Fuzzy Controller for Traffic Management in 5G Networks

Naragund, Jayalakshmi G.; Vijayalakshmi, M.; Kanakaraddi, Suvarna G.

doi:10.1109/iciis51140.2020.9342630

Cited by 6 publications

(1 citation statement)

References 12 publications

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“…In [26], the user equipment services in the 5G wireless network are allocated by the fuzzy control algorithm. Multimedia data are nowadays the preferred traffic on the Internet and have helped to increase the amount of data.…”

Section: Traffic Managementmentioning

confidence: 99%

Technical Study on 5G Using Soft Computing Methods

Divakaran¹,

Malipatil²,

Zaid³

et al. 2022

Scientific Programming

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With increasing advancements in the field of telecommunication, the attainment of a higher data transfer rate is essentially a greater need to meet high-performance communication. The exploitation of the fuzzy system in the wireless telecommunication systems, especially in Fifth Generation Mobile Networks (or) 5G networks is a vital paradigm in telecommunication markets. A comprehensive survey is dealt in the paper, where it initially reviews the basic understanding of fuzzy systems over 5G telecommunication. The literature studies are collected from various repositories that include reference materials, Internet, and other books. The collection of articles is based on empirical or evidence-based from various peer-reviewed journals, conference proceedings, dissertations, and theses. Most of the existing soft computing models are streamlined to certain applications of 5G networking. Firstly, it is hence essential to provide the readers to find research gaps and new innovative models on wide varied applications of 5G. Secondly, it deals with the scenarios in which the fuzzy systems are developed under the 5G platform. Thirdly, it discusses the applicability of fuzzy logic systems on various 5G telecommunication applications. Finally, the paper derives the conclusions associated with various studies on the fuzzy systems that have been utilized for the improvement of 5G telecommunication systems.

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Section: Traffic Managementmentioning

confidence: 99%