基于协同认知的抗干扰网络结构自适应技术

针对现有协同认知无线网络工作在固定结构导致灵活性低、对复杂环境适应力不足的问题，以提高其抗干扰和抗毁能力为目标，提出了一种基于协同认知的网络结构自适应技术。该技术能够使协同认知无线网络在集中控制、自组织和协同中继三种结构之间灵活、自主切换，从而应对电磁干扰、设备故障和通信链路遮挡等问题，极大增强了网络的稳健性。详细介绍了切换方案设计和节点协议实现，并通过搭建基于GNU Radio和二代通用软件无线电外设（USRP2）的协同认知无线网络测试床对其切换耗时以及吞吐量性能进行实际测试验证。结果表明，相比单一、固定的网络结构，该技术能够显著增强网络抗毁性、连通性，提高服务质量（QoS）。

Anti-jamming network architecture self-adaption technology based on cooperation and cognition

Considering that the Cooperative Cognitive Radio Networks (CCRN) perform poorly with low flexibility and deficient ability to adapt to complex environment, which caused by working under a fixed architecture at present, a kind of network architecture self-adaption technology based on cooperation and cognition was proposed to improve the anti-jamming and anti-damage ability of the CCRN. The technology made CCRN switch among three kinds of architectures, including centralized control, self-organization and cooperative relay, autonomously and flexibly, to deal with electromagnetic interference, equipment failure and obstructions on communication link, which could greatly enhance the network robustness. The switch scheme design and protocol implementation of different nodes were introduced in detail. Moreover, a CCRN testbed which consists of GNU Radio and the second generation of Universal Software Radio Peripheral (USRP2) was set up to test and verify its performance including switching time consumption and throughput. Results show that the technology significantly improves the anti-destroying ability, connectivity and Quality of Service (QoS) of CCRN compared with the network working under single, and fixed architecture.