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Cognitive Heterogeneous Wireless Network and Artificial Intelligence-Based Supply Chain Efficiency Optimization
Yuan Yuan1,2
1Hebei University of Technology, Tianjin 300401, China.
This study introduces an intelligent cognitive radio system that adapts to wireless environments for stable communication. It integrates with supply chain management using AI for improved operational efficiency and task handling.
Area of Science:
- Wireless Communication Systems
- Supply Chain Management
- Artificial Intelligence
Background:
- Cognitive radio enables intelligent wireless communication by perceiving and adapting to environmental changes.
- Traditional supply chains can be enhanced through cooperation and the sharing economy.
- Integrating advanced technologies is crucial for improving supply chain operations.
Purpose of the Study:
- To propose a cognitive radio system for adaptive wireless communication.
- To explore the integration of cognitive radio, AI, and supply chain management.
- To enhance the efficiency and reliability of supply chain operations.
Main Methods:
- Developing a cognitive radio system capable of environmental perception and parameter adjustment.
- Utilizing artificial intelligence and historical data for task prediction and management.
- Implementing access control strategies for communication task completion.
Main Results:
- The cognitive radio system demonstrates flexibility and adaptability in dynamic wireless environments.
- The integration enhances supply chain competitiveness and operational understanding.
- The system effectively handles internal and emergency communication tasks.
Conclusions:
- Cognitive radio systems offer advanced intelligent wireless communication capabilities.
- The synergy between cognitive radio, AI, and supply chain management optimizes operations.
- This approach ensures stable communication and improves overall supply chain performance.
