重大自然灾害对基础设施的破坏性以及应急通信业务的突发性，使得应急通信网络面临巨大的挑战。认知无线自组网可充分利用紧急救援现场的各种移动终端组成应急通信网络，提供足够的频谱资源供应急通信业务使用。项目以重大灾害紧急救援应急通信为应用背景，以认知无线网络为技术手段，研究独立于现存无线网络基础设施的应急通信网络理论与技术，构建大容量、高密度、低时延的应急通信网络。分析应急通信业务的时空性与多样性，研究认知应急通信网络业务感知与跨层设计，建立具有任务感知的网络跨层架构体系；结合应急网络特征，研究基于深度神经网络的连续频谱感知与频谱接入，建立认知应急网络频谱动态模型，给出其性能限；研究认知应急网络可疑链路通信监听技术，设计基于区域位置、信号特征、信道特征网络攻击联合防御体系，有效提高认知应急网络的安全性。通过研究，提出认知应急通信网络设计理论与方法，为新一代智慧应急通信网络提供理论依据和技术支撑

There two challenges in the emergency communication networks. One is that the great natural disaster would destroy the infrastructure of communication networks; the other is that the emergency communication traffic would burst when the great natural disaster occurs. The cognitive radio ad hoc network can make full use of all kinds of mobile terminals in the emergency rescue live to form an emergency communication network, and provide enough available spectrum to be used. Taking the emergency rescue communication in the great disasters as the application, this project is to address the communication theory and technology of emergency communication networks and structures an emergency communication network based on cognitive radio networks with large capacity, high density and low delay, which is independent on the existing wireless network infrastructure. It will analyze the spatiotemporal variety and diversity of the emergency communication traffic, investigate the traffic sensing and cross layer design, and build the cross layer communication framework with mission aware. According to the characteristics of emergency networks, it will study the continuous spectrum sensing and access with the deep neural network, model the dynamic spectrum state of cognitive emergency networks, and give the performance limit. Finally, combining the regional position, signal characteristics and channel characteristics of the network attack, it will design the defense system for the network attack and monitor the information transmitted by suspicious links, and improve the network safety effectively. It will propose the theory and method to design cognitive emergency communication networks, and provide theoretical basis and technical support for the next generation intelligent emergency communication networks.