Journal of Information Systems Engineering and Management

Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network
Feifei Song 1 *
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1 Ph.D candidate, Department of Fine Art, International College, Krirk University, Bangkok, Thailand
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 1, Article No: 23622
https://doi.org/10.55267/iadt.07.14076

Published Online: 25 Jan 2024

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APA 6th edition
In-text citation: (Song, 2024)
Reference: Song, F. (2024). Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network. Journal of Information Systems Engineering and Management, 9(1), 23622. https://doi.org/10.55267/iadt.07.14076
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Song F. Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network. J INFORM SYSTEMS ENG. 2024;9(1):23622. https://doi.org/10.55267/iadt.07.14076
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Song F. Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network. J INFORM SYSTEMS ENG. 2024;9(1), 23622. https://doi.org/10.55267/iadt.07.14076
Chicago
In-text citation: (Song, 2024)
Reference: Song, Feifei. "Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network". Journal of Information Systems Engineering and Management 2024 9 no. 1 (2024): 23622. https://doi.org/10.55267/iadt.07.14076
Harvard
In-text citation: (Song, 2024)
Reference: Song, F. (2024). Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network. Journal of Information Systems Engineering and Management, 9(1), 23622. https://doi.org/10.55267/iadt.07.14076
MLA
In-text citation: (Song, 2024)
Reference: Song, Feifei "Incorporating Morris' Design Thoughts for AI and Big Data-Enabled Coverage Optimization in China's Wireless Communication Network". Journal of Information Systems Engineering and Management, vol. 9, no. 1, 2024, 23622. https://doi.org/10.55267/iadt.07.14076
ABSTRACT
Morris changes this study's China cellular network AI and Big Data Analytics. Scalability, regulatory compliance, and resource allocation efficiency are checked. Numerous methods seamlessly combine qualitative interview, document, and case study findings with quantitative network performance statistics. Qualitative study highlights industrial resource allocation, efficiency, and user-centric design issues. Innovative problem-solving emphasizes tech and regs. Researchers think Morris' designs improve China's wireless network. Explain and apply Morris' design concepts to problems. This comprehensive theoretical and practice study optimizes networks using Morris' design theories. Interdisciplinary research improves Morris' digital ideas. This research ingeniously integrates theory and practice to create network theory. Research employing mixed methods. Interviews, document analysis, and case studies increase efficiency, resource allocation, and user-centric design. Data quality and processing speed are investigated in quantitative network performance studies. Quantifying complex relationships with correlation and regression analysis strengthens the study's powerful method. Innovative regulatory compliance and scalability solutions demonstrate the study's cutting-edge approach. The paper then examines key findings and implications. Network optimization requires high-quality data, feature engineering, and user-centered design, according to research. Executives get proper network optimizing guidance. The essay emphasizes industry regulatory and technical improvements. Morris optimized networks theoretically. This integrated strategy boosts theory and digital relevance. Wireless network enhancements in China. Effectiveness, user experience, and data-driven accuracy help researchers optimize networks. This study addresses specific challenges and extends network theory to create future-ready networks utilizing Morris' design methods. Chinese wireless communication network optimization demonstrates this research's practical and theoretical benefits.
KEYWORDS
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