The fuzzy-controller for WiMAX networks

Семенова, Олена; Семенов, А. А.; Voznyak, Oleksandr; Mostoviy, Dmytro; Dudatyev, Igor

doi:10.1109/sibcon.2015.7147214

Cited by 11 publications

(2 citation statements)

References 2 publications

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“…We utilize recent papers [1][2][3] that demonstrate the revolutionary power of reservoir computing and machine learning in tackling the problems presented by complex cyber threats and chaotic system intricacy in order to demonstrate the applicability of our investigation.…”

Section: Introductionmentioning

confidence: 99%

Information Security and Telecommunications Prospects of Machine-Learning-Based Methods in Chaotic Systems

Kushnir,

Toronchuk,

Kosovan

2023

SISIOT

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In the dynamic landscape of information security and telecommunications, this paper delves into the multifaceted realm of machine-learning-based methods, with a particular focus on their application in chaotic systems. An informative introduction sets the way for a thorough examination of the major benefits provided by reservoir computing (RC) and machine learning (ML) in telecommunications. The first segment of this study scrutinizes the role of machine learning in fortifying information security. With the ever-evolving nature of cyber threats, understanding the nuances of ML becomes imperative. The article highlights key advancements and features in ML that contribute to bolstering data security, providing a nuanced perspective on its efficacy in addressing the intricate challenges posed by contemporary paradigms for information security. Moving forward, the discussion expands to reservoir computing and its implications in telecommunications. Reservoir computing, with its unique approach to processing information through dynamic systems, has emerged as a promising technique. The article dissects its applications in the telecommunications sector, shedding light on how reservoir computing augments information processing and transmission efficiency within complex networks. A pivotal aspect of this paper is the exploration of the double-reservoir solution — a cutting-edge approach that combines the strengths of reservoir computing for enhanced performance. This innovative solution is dissected in detail, uncovering its prospects and the challenges it presents. The incorporation of double-reservoir solutions into chaotic systems represents a paradigm shift in the optimization of system dynamics and represents a major advancement in tackling important telecommunications difficulties. Yet not just this paper offers insights into this solution, it fairly describes possible challenges with implementation of such a model. It is to be taken into consideration, hence there is no ‘perfect’ solution for such a complex problem. This paper provides a comprehensive view of machine-learning-based solutions for information security and telecommunications challenges. By unraveling the capabilities of both machine learning and reservoir computing, it unlocks avenues for further research and development in harnessing these technologies to fortify the foundations of secure and efficient telecommunications in the face of constantly developing threats. The insights presented herein lay the groundwork for future innovations, urging researchers and practitioners to delve deeper into the synergy of machine learning and chaotic systems for transformative advancements in these critical domains.

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Section: Introductionmentioning

confidence: 99%

Information Security and Telecommunications Prospects of Machine-Learning-Based Methods in Chaotic Systems

Kushnir,

Toronchuk,

Kosovan

2023

SISIOT

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“…Therefore, their analysis is the subject of research in a great number of modern scientific publications. The results of such studies are usually new or modified decision-making rules under conditions of risk [2,[4][5][6] and uncertainty [7][8][9]. These studies determine that the choice of a rule for making a decision depends both on the problem under study and on such features of the problem owner or decision-maker as risk propensity, level of optimism, etc.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Human-AI Decision-Making Systems with Numerical Channels

Oksana

Kotsipak²,

Dolgikh

et al. 2022

2022 12th International Conference on Advanced Computer Information Technologies (ACIT)

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This work is devoted to the study of the features of functioning in Collaborative Human-AI Decision-MakingSystems with numerical channels. The system operates in automatic mode without external influences. The channels can be both artificial intelligence software and competent experts giving conclusions on the question under study. The cases considered are those in which an agreed solution must be numerical and logical. For each of these cases, decision rules for the system have been developed. The developed rules include the ability to take into account the reliability of the channels, which allows expanding their number in the system if necessary.

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Managing the Process of Servicing Hybrid Telecommunications Services. Quality Control and Interaction Procedure of Service Subsystems

Skulysh

Romanov

Globa

et al. 2018

Advances in Soft and Hard Computing

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The principle of telecommunication system management is improved. Unlike the principle of software-defined networks, the functions of managing the subscriber service process, namely: subscriber search, the search for the physical elements involved in the transmission process, and the transfer of control to the corresponding physical elements, are transferred to the cloud. All subsystems of mobile communication will be managed from controllers located in the date center. The interaction between subsystems controllers for managing occurs only in the data center. It will reduce the number of service streams in telecommunications network. The procedure of interaction of the mobile communication control system and the virtualized environmental management system is proposed.

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The fuzzy-controller for WiMAX networks

Cited by 11 publications

References 2 publications

Information Security and Telecommunications Prospects of Machine-Learning-Based Methods in Chaotic Systems

Information Security and Telecommunications Prospects of Machine-Learning-Based Methods in Chaotic Systems

Collaborative Human-AI Decision-Making Systems with Numerical Channels

Managing the Process of Servicing Hybrid Telecommunications Services. Quality Control and Interaction Procedure of Service Subsystems

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