Open Access
·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
• Database Management
• Applications to Engineering Sciences
• Applications to Technology
Issues up to 2022 co-published with and available at:
Enhancing cellular network design using optimization theory and machine learning
Rasika Chaflerasikamanapure@gmail.comDepartment of Electronics & Telecommunication Engineering Suryodaya College of Engineering & TechnologyNagpur, Maharashtra, 440034, IndiaView full profile →
, *Sagarkumar S. BadhiyeCorresponding authorsagarbadhiye@gmail.comDepartment of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University)Department of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune, Maharashtra, 412115, IndiaView full profile →
, Manisha Tushar Jadhavmanisha.jadhav@vit.eduDepartment of Electronics & Telecommunication Engineering Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
, Kumari Shiprakumari.shipra@niu.edu.inSchool of Engineering & Technology Noida International UniversityDepartment of School of Engineering & Technology Noida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile →
, V. Shanthishanthiv@maher.ac.inDepartment of Computer Science Meenakshi College of Arts and Science Meenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, IndiaView full profile →
* Corresponding author · click or hover a name for details
The fast development of mobile communication networks has made it harder than ever to make sure that resources are used efficiently, delay is kept low, and service quality is solid. Fifth-generation (5G) and new 6G systems need improved ways to predict traffic, find outliers, and change how resources are used. The goals of this study are to solve these problems by combining optimization theory and machine learning. Optimization uses math to set goals and limits, and machine learning lets computers learn about changing traffic trends in real time. Together, they increase productivity, cut down on delays, and make the use of energy more efficient.
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