摘要
机动通信网具有灵活性高、组网速度快、环境场景多等优势,但是在频繁的移动过程中,其通信状态容易受到地形因素的影响,如节点距离过远、有障碍物阻隔等。针对此问题,提出一种智能通信保持技术,尽可能地使机动通信网中的各个节点保持在视距链路通信中。该技术需要通过大数据采集并存储节点、地形、行进路线等数据,并需要通过机器学习,对采集到的大数据进行算法分析,以得出最佳的机动通信网行进方案。
Mobile communication network has the advantages of high flexibility,fast networking speed and many environmental scenarios.However,in the process of frequent movement of mobile communication network,the communication state is easy to be affected by terrain factors,such as too far node distance,obstacles,etc.Based on this problem,this paper proposes an intelligent communication holding technology to keep each node in the mobile communication network in the line of sight link communication as much as possible.This technology needs to collect and store node,terrain,travel route and other data through big data,and analyze the algorithm of the collected big data through machine learning,so as to obtain the best travel scheme of mobile communication network.
作者
牟明铭
户江民
何银铜
莫皓颖
李波
MOU Mingming;HU Jiangmin;HE Yintong;MO Haoying;LI Bo(Chongqing Jinmei Communication Co.,Ltd.,Chongqing 400030,China;China Academy of Aerospace Science and industry,Beijing 100074,China)
出处
《电声技术》
2021年第10期110-113,共4页
Audio Engineering
关键词
机动通信网
智能行进
通信状态保持
大数据
机器学习
mobile communication network
intelligent travel
communication state maintenance
big data
machine learning
