A Quantum-Behaved Heterogeneous Topology Optimization Model For Optical Wireless Communication Networks

Optical wireless communication technology has become an effective supplementary access method in the future 6G communication due to its advantages of high bandwidth and low cost. However, the limited communication distance and unfavorable weather seriously affect the quality of service of optical wireless communication. How to plan the heterogeneous topology composed of base stations and terminals is very important to ensure the robustness and communication efficiency of optical wireless communication networks. Byanalyzing the relationship between these two indicators, and introducing the idea of quantum particle swarm, we propose a quantum-behaved multi-objective topology optimization model to enhance the robustness and communication efficiency of optical wireless communication networks. This model utilizes the uncertainty of quantum behavior to get rid of the limitation that particle swarms cannot explore a larger solution space due to the upper limit of speed, and enhance the global exploration ability of particles. In addition, the adaptive grid method is adopted to divide the non-inferior solutions, so that the solution distribution is more uniform, and the effect of topology optimization is further improved. The experiments show that compared with the traditional multi-objective particle swarm algorithm, our model can greatly improve the robustness and communication efficiency of optical wireless communication networks.