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Overview: With the rapid development of technology, traditional wireless communication can't quite meet the needs of fast-growing data service gradually. Researchers are seeking new ways to overcome this conundrum. Since the light communication has the advantages of high SNR, high modulation rate and high security, it is promising to achieve a new height in data communication system. Visible light communication also becomes a hot field for scientists to explore. However, there are many problems to solve in order to make a perfect visible light communication system. Due to the LED lamps discretely mounted on the ceiling, distributions of illuminance and power are incredibly uneven on the receiving plane, so that user experiences can't be exhilarating. To create a better atmosphere for communication, a layout optimized by multi-population genetic algorithm is proposed. Traditional genetic algorithm may get involved in premature convergence or running into a local optimization solution. The strategy of multi-population co-evolution is introduced into multi-population genetic algorithm to get rid of these problems. The immigration operation strengthens the bond of multi-populations, and the elitism strategy makes sure that the result is found out under our request. A room with dimensions 5 m×3 m×3 m plays the role of simulation model. Particularly, the base of the model is rectangular, which is different from most of the previous studies. 15 specific LED lamps are mounted on the ceiling and serve as sources of optical illuminance and power. The position coordinates of lamps make up chromosome individuals. A function related to the variance of the receiving power is constructed as the fitness function. After being optimized by the algorithm, parameters are plugged into the model simulated on Matlab R2016a. Furthermore, to illustrate the effectiveness of the proposed method, layout optimized by traditional genetic algorithm and rectangular layout optimized by multi-population genetic algorithm are taken as comparisons. The diagrams show that parameters of the proposed method are the evenest intuitively. Through the numerical analysis, the variance of power reaches 1.5744 dBm, the illuminance falls in a range between 889 lx and 1009 lx and the uniformity ratio of illuminance is 91.73%, all of these parameters in multi-population genetic algorithm (MPGA) are the best among the three methods mentioned above. Therefore, the feasibility of this optimization method is evidently proved by this experiment. It can provide references when people tend to find a way to properly design the LED layout, thus finally contributes to building the visible light communication system.
The model of VLC system
The layout of LED lamps
Flowchart of the algorithm
Distributions of parameters under the proposed layout optimized by MPGA. (a) Illuminance; (b) Power
Distributions of parameters under the proposed layout optimized by GA. (a) Illuminance; (b) Power
Distributions of parameters under rectangular layout optimized by MPGA. (a) Illuminance; (b) Power
Layouts of LED lamps. (a) Optimized by MPGA; (b) Opimized by GA; (c) The rectangular layout