中文说明： 认知网络通信是为有效利用稀缺的无线电资源和保证质量服务 (QoS) 工业无线网络中的有前途的技术。此项目旨在介绍在网络非均质性对现有的无线传感器网络在努力减少的问题在挤迫的 ISM 频段的无线设备。对于非均质性的过程监测中有的行业的优势被需要纳入到传感器，以提供动态频谱访问 (DSA) 的认知无线电技术。在这个项目中我们研究认知无线电在由多个障碍、 干扰生产的重型机械和其他通讯设备造成干扰的描绘的恶劣工业环境中的适用性。评价是在 ISM 频段 (2.4 GHz)、 蜂窝带 (1.9 GHz) 和 Wi-Fi 乐队 (5 GHz) 进行的。优化调制技术分析使用位错误率 (BER) 和信号与干扰加噪声比 (信干噪比） 作为性能评价指标。
English Description：
Cognitive network communication is a promising technique for efficient utilization of scarce radio resources and guaranteeing quality of services (QoS) in industrial wireless networks. This project is aimed at introducing network heterogeneity to the existing WSN in an effort to reduce the problem of over crowdedness of wireless devices in the ISM band. For heterogeneity to be of an advantage for process monitoring in industry there is need to incorporate cognitive radio technology to the sensors so as to provide Dynamic Spectrum Access (DSA). In this project we study the applicability of cognitive radios in the harsh industrial environment characterised by multiple obstacles, interference produced by heavy machinery and interference caused by other communicating devices. The evaluation is conducted in the ISM band (2.4 GHz), cellular band (1.9 GHz) and Wi-Fi band (5GHz). Opt