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Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the
Yongchao Meng1, Peihan Qi1, Qian Lei2
1State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China.
Sensors (Basel, Switzerland)
|December 11, 2022
Summary
This study introduces an orthogonal genetic algorithm for efficient electromagnetic spectrum allocation in integrated space-air-ground networks. The novel approach optimizes frequency allocation to minimize interference between devices with varying priorities.
Area of Science:
- Electromagnetic Spectrum Management
- Space-Air-Ground Integrated Networks
- Optimization Algorithms
Background:
- Effective electromagnetic spectrum management is crucial for space-air-ground integrated networks.
- Current spectrum allocation methods struggle with irregular bandwidths and diverse priorities of multi-service devices.
Purpose of the Study:
- To propose an orthogonal genetic algorithm for optimizing electromagnetic spectrum allocation.
- To transform frequency allocation into minimizing electromagnetic interference in integrated networks.
Main Methods:
- Developed an orthogonal genetic algorithm incorporating mixed niches and an orthogonal uniform crossover operator.
- Constructed a system model with minimum interference (low-priority to high-priority) as the objective function.
- Utilized protection frequency and natural frequency as constraint conditions, optimizing with standard and micro genetic algorithms.
Main Results:
- The proposed algorithm enhances population diversity and search efficiency.
- Improved global searchability and local search precision compared to standard and micro genetic algorithms.
- Demonstrated fast convergence, strong stability, and superior optimization effects over existing methods.
Conclusions:
- The orthogonal genetic algorithm offers a robust solution for complex electromagnetic spectrum allocation challenges.
- This method effectively manages spectrum resources in space-air-ground integrated networks with diverse device requirements.
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