激光与光电子学进展, 2019, 56 (22): 220601, 网络出版: 2019-11-02
蚁群算法优化室内可见光通信功率均匀性的研究 下载: 1019次
Power Uniformity Optimization in Indoor Visible Light Communication Based on Ant Colony Algorithm
光通信 可见光通信 蚁群算法 功率优化 optical communications visible light communications ant colony algorithm power optimization
摘要
在室内可见光通信系统中,为保证处于室内不同方位的多个用户均能够获得良好的通信质量,即改善接收平面接收光功率分布均匀性,提出一种基于改进蚁群算法的功率优化方法,将一维路径优化问题转化为三维,提高了运算效率;把接收平面最大功率与最小功率之差作为待优化的目标函数,并添加约束条件,避免了优化后平均光功率过低以及人工筛选带来的不确定性。仿真结果表明,该方法进一步降低了光功率的偏移量,并保证了通信环境的稳定性。
Abstract
To ensure good communication quality of several users from different orientations within a room in indoor visible light communication systems, this study proposes a power optimization method based on the improved ant colony algorithm, which converts the one-dimensional path optimization problem into three dimensions and improves the operational efficiency, thereby improving the uniformity of the received optical power distribution of the receiving plane. Further, the difference between the maximum and minimum powers of the receiving plane is considered to be the optimization target. The addition of constraints avoids the occurrence of low average optical power after optimization as well as the uncertainty attributed to manual screening. Finally, the simulation results demonstrate that the proposed method reduces the optical power offset and ensures the stability of the communication environment.
杨智群, 梁继然, 毛陆虹. 蚁群算法优化室内可见光通信功率均匀性的研究[J]. 激光与光电子学进展, 2019, 56(22): 220601. Zhiqun Yang, Jiran Liang, Luhong Mao. Power Uniformity Optimization in Indoor Visible Light Communication Based on Ant Colony Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(22): 220601.