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Advanced Methods for Decision Making and Planning in Telecommunication Systems
Special Issue Information
Dear Colleagues,
Telecommunication systems (TCS) are playing a very important role in development of production and the economy. They are characterized by length, high-speed messaging, great branching, a high diversity of used elements, and the heterogeneity of processed information flows. As a result, the potential to implement management functions in TCS has attracted the attention of a large number of scientific researchers. Among these management functions, the functions of decision-making and planning are of the greatest complexity and higher scientific importance.
On the one hand, the increased requirements on throughput, mobility, resilience, security, and safety are imposed to management systems in modern TCS. On the other hand, the implementation of the decision-making and planning functions in modern TCS is carried out in the conditions of fuzzy and incomplete initial data, the existence of various external and internal influences, and the need to process big arrays of structured, semi-structured, and unstructured data in a limited time.
In this context, the proposed Special Issue will have to present unpublished theoretical and applied results related to the development of new approaches, models, methods, algorithms, software, and hardware for implementing the functions of decision-making and planning in modern TCS.
These results will concern a rather wide range of issues affecting the application of advanced and innovative methods of data processing, resilience, security, safety, and throughput. These results will address a fairly wide range of issues affecting the application of advanced and innovative methods for decision-making and planning in TCS.
Prof. Dr. Igor Kotenko
Prof. Dr. Igor Saenko
Guest Editors
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Keywords
- Methodology of decision-making and planning in TCS
- Ensuring throughput
- Ensuring mobility
- Ensuring resilience, security, and safety
- Formal models and techniques
- Modeling and simulation
- Optimization methods
- Advanced analytics
- Stochastic models
- Artificial intelligence
- Bid Data
- Machine learning
- Fuzzy data processing
- Data storages
- Data visualization
- Bio-inspired approaches
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