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Exploiting cognition and adaptivity in advanced wireless network system designs

Exploiting cognition and adaptivity in advanced wireless network system designs
在先进无线网络系统设计中利用认知和适应性
批准号:
44286-2009
负责人:
Leung, Victor
金额:
$4.08万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
翻译
无线通信、信号处理和微电子技术的最新进展已经导致无线联网应用的激增。对于移动的设备而言,对更高的数据速率和带宽、更低的成本和更长的电池寿命的需求日益增加。目前,人们对开发认知无线电(CR)网络以满足这些需求非常感兴趣。CR的主要应用是次要用户在免许可的基础上对主要用户未使用的频谱空洞进行机会性接入。虽然这种应用的实用性取决于政府法规,可能不会在全球范围内普及,但CR的一般原则更为深刻。CR的两个主要原则是:(1)认知-观察和学习环境,(2)适应性-根据认知信息做出决策和采取行动,评估结果并调整策略以提高绩效。这些原则值得深入研究,不仅在无线电通信中,而且在无线网络的协议和管理算法的设计方面的一般应用。这激发了当前提案的总体目标:开发,评估和实施新的系统架构,协议和管理技术,利用认知和适应性,以改善设计和提高无线网络系统的性能。成功实现这些目标将大大有助于满足上述移动的应用和无线通信的日益增长的需求的先进无线网络和移动的设备的未来可用性。为了实现这些目标,我们提出了以下研究任务:(1)认知无线局域网在光纤,(2)架构,协议和管理技术,以实现CR网络,(3)移动性,位置和应用感知的认知无线网络。这些任务将通过新的设计和性能评估的理论和仿真模型的手段来完成。利用拟议的实验测试平台,有前途的技术将在现实条件下实施和评估。
英文摘要
Recent advances in wireless communications, signal processing and microelectronics technologies have resulted in the proliferation of wireless networking applications. There are increasing demands for higher data rates and bandwidths, lower costs and longer battery lives for mobile devices. There is substantial current interest on developing cognitive radio (CR) networks to meet these demands. The main application of CRs is for opportunistic access by secondary users on a license-free basis to spectrum holes left unused by the primary users. Although the practicality of this application depends on government regulations and may not be pervasive on a global basis, the general principles of CRs are more profound. The two main principles of CRs are: (1) Cognition - to observe and learn about the environment, and (2) Adaptivity - to make decisions and take actions based on cognitive information, evaluate the results and adjust strategies to improve performance. These principles merit in-depth investigations with regard to their general applications not only in radio communications but also the design of protocols and management algorithms for wireless networks. This motivates the overall objectives of the current proposal: to develop, evaluate and implement novel system architecture, protocols and management techniques that utilize cognition and adaptivity to improve the designs and enhance the performance of wireless network systems. Success in achieving these objectives will substantially contribute to the future availability of advanced wireless networks and mobile devices that meet the growing demands of mobile applications and wireless communications outlined above. To address these objectives, we propose the following research tasks: (1) Cognitive wireless local area network over optical fibres, (2) Architectures, protocols and management techniques to realize CR networks, (3) Mobility, location and application aware cognitive wireless networks. These tasks will be accomplished through novel design and performance evaluations by means of theoretical and simulation models. Utilizing a proposed experimental testbed, promising techniques will be implemented and evaluated under realistic conditions.
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