Antijamming resource scheduling of power dispatching wireless laser communication network

This study proposes an enhanced quantum-behaved particle swarm optimization (QPSO)-based antijamming resource scheduling method to improve power system dispatching, network capacity, and anti-interference performance in wireless laser communication networks. The proposed approach first computes the channel gain, transmission power limits, and spectral efficiency thresholds to establish an energy efficiency optimization model. It then improves the standard QPSO algorithm by adopting real-number encoding and minimum-position-value decoding for discrete optimization. By prioritizing tasks, updating particle positions, and optimizing resource-weighted priorities, the method refines initial solutions to accelerate convergence. Experimental results show that zero interference is achieved for 20 node pairs (specifically nodes 4, 10, 16, 18, and 19) and inactive links exist among five node pairs. The method also improves energy efficiency and spectral efficiency while maintaining stable throughput (38–46 kbps) under varying interference. The proposed approach effectively minimizes interference, maximizes network capacity, and achieves reliable antijamming resource scheduling for power dispatching systems.