摘要
考虑点源、一对吸收机和透明机共存场景,在透明机接收分子概率模型基础上引入干扰因子,考虑空间中吸收机对该透明机接收分子的影响,建立吸收机干扰下点源−透明机信道模型,并结合人工神经网络使用Levenberg-Marquardt算法对信道模型参数进行学习和预测。仿真结果不仅验证了所提信道模型的有效性,还表明空间中任意点峰值时刻与点源到该点的距离平方成正比,与分子扩散系数成反比,峰值时刻不受空间中的吸收机影响。
A coexistence scenario with a point source,a pair of absorbing and transparent receiver was considered,an in-terference factor was introduced in the proposed channel model based on the receiving molecular probability in the transparent receiver considering the influences of the absorbing receiver on the transparent one.Furthermore,the channel model of point source and transparent receiver had been proposed by using Levenberg-Marquardt algorithm combined with artificial neural network to study and predict channel model parameters.The simulation results not only verify the effectiveness of the proposed channel model,but also show that the peak time of any point in the environment is directly proportional to the square of the distance from the point source to the receiver,and inversely proportional to the molecu-lar diffusion coefficient,and the peak time is not affected by the absorbing receiver in the environment.
作者
孙卓
鲍煦
林颉
张文策
SUN Zhuo;BAO Xu;LIN Jie;ZHANG Wence(School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang 212013,China)
出处
《通信学报》
EI
CSCD
北大核心
2021年第7期107-116,共10页
Journal on Communications
基金
江苏省重点研发计划基金资助项目(No.BE2018108)
国家自然科学基金资助项目(No.61772243)
江苏省六大人才高峰高层次人才计划资助项目(No.XYDXX-115)。
关键词
分子通信
自由扩散
多接收机
信道建模
molecular communication
free diffusion
multi receiver
channel model