An Intelligent Network Planning Algorithm for Emergency Communication with Deep Learning

Zongzhe Nie, Wei Zhu, Ruopeng Yang, Yu Wang
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Abstract

With the increase amount of the natural disasters and terrorist activities, emergency communication management research which often Involving local conventional communication system severely reduced or even paralyzed has been paid more attentions in recent years. And there has also arisen the need to develop applications to establish emergency communication in the shortest time and rebuild all kinds of the communication systems in the affected areas. This paper presents a network model of emergency communication, and clarifies the requirements of the network planning task. By introducing deep learning neural network to the network intelligent planning task, this paper puts forward an efficient, reliable and intelligent planning method of emergency communication network.
基于深度学习的应急通信智能网络规划算法
随着自然灾害和恐怖活动的增多,应急通信管理的研究近年来受到越来越多的关注,而应急通信管理往往涉及到地方常规通信系统的严重减少甚至瘫痪。开发应用程序,在最短时间内建立应急通信,重建受灾地区的各种通信系统。本文提出了应急通信网络模型,明确了网络规划任务的要求。通过将深度学习神经网络引入到网络智能规划任务中,提出了一种高效、可靠、智能的应急通信网络规划方法。
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