Intelligent Dynamic Spectrum Resource Management Based on Sensing Data in Space-Time and Frequency Domain

Area of Science:

• Computer Science
• Electrical Engineering
• Telecommunications

Background:

• Edge computing is crucial for the industrial Internet of Things (IIoT), enabling offloading of intensive tasks from devices to edge servers.
• Efficient spectrum resource management is vital for IIoT applications due to limited spectrum, battery constraints, and fluctuating spectrum availability.
• Existing spectrum management methods struggle to meet the Quality of Service (QoS) requirements in dynamic IIoT environments.

Purpose of the Study:

• To propose an intelligent dynamic spectrum resource management system for IIoT environments.
• To enhance spectrum efficiency, reduce latency, and improve link reliability in edge computing scenarios.
• To optimize resource allocation considering device constraints and spectrum dynamics.

Main Methods:

• Development of a system with learning engines for optimal backup channel selection based on historical data.
• Integration of reasoning engines to identify idle channels using backup channel lists.
• Implementation of transmission parameter optimization using a genetic algorithm with interference analysis across time, space, and frequency domains.

Main Results:

• The proposed intelligent dynamic spectrum resource management demonstrated superior performance compared to existing methods.
• Evaluations showed improvements in spectrum efficiency, reduced spectrum handoffs, lower latency, and decreased energy consumption.
• Performance was analyzed based on backup channel selection, the number of IoT devices, and optimized transmission parameters for different traffic environments.

Conclusions:

• The proposed intelligent dynamic spectrum resource management effectively addresses the challenges of spectrum allocation in IIoT edge computing.
• The system offers a robust solution for meeting QoS requirements in dynamic and resource-constrained IIoT networks.
• This approach provides a significant advancement in managing wireless resources for industrial IoT applications.