基于光纤传输的大数据均衡合理调度模型设计

Design of big data equalization and reasonable scheduling model based on optical fiber transmission

光纤传输的大数据受到传输信道的多径扩展影响导致调度的时延和误差较大,为了提高光纤传输的大数据调度和无损传输能力,提出一种基于直接随机序列扩频的大数据均衡合理调度模型,结合传输信道均衡算法进行光纤传输性能的优化设计,构建光纤传输的信道模型,采用多径干扰抑制方法进行光纤传输的大数据调度抗干扰设计,采用直接序列扩频和波特间隔均衡控制技术进行光纤传输通信系统的大数据传输和自适应调度,构建光纤网络传输大数据的信道均衡控制模型,计算大数据均衡合理调度的自适应加权系数,进行光纤网络传输大数据传感融合识别,实现对光纤传输网络的大数据均衡合理调度。仿真实验表明,该方法能提高光纤传输网络中大数据调度的均衡性,输出误码较低,提高了光纤传输的质量。

Big data of optical fiber transmission is affected by the multipath spread of transmission channel,which results in great delay and error in scheduling. In order to improve the capacity of optical fiber transmission,big data scheduling and lossless transmission,A reasonable scheduling model of big data equalization based on direct random sequence spread spectrum( DSSS) is proposed. Combining with the transmission channel equalization algorithm,the optimal design of optical fiber transmission performance is carried out,and the channel model of optical fiber transmission is constructed. The multi-path interference suppression method is adopted for the big data scheduling anti-interference design of optical fiber transmission,and the direct sequence spread spectrum and the baud interval equalization control technology are adopted for the big data transmission and adaptive scheduling of the optical fiber transmission communication system. The channel equalization control model of big data in optical fiber network transmission is constructed,and the adaptive weighting coefficient is calculated for the reasonable scheduling of big data equalization. To achieve the optical fiber transmission network big data balanced and reasonable scheduling. The simulation results show that this method can improve the equalization of big data scheduling in optical fiber transmission network,and the output error code is lower,and the quality of optical fiber transmission can be improved.