CAREER: Cognitive Co-Existence in Heterogeneous Wireless Networks

职业：异构无线网络中的认知共存

• 批准号: 1149981
• 负责人: Danijela Cabric
• 金额: $ 41.99万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1149981&HistoricalAwards=false
• 关键词: CAREER; Cognitive; Co; Existence; Heterogeneous

Efficient spectrum sharing among disparate wireless systems without inter-system communication is the central problem in expanding existing and developing future wireless technologies. This proposal explores an integrated physical and network layer approach for spectrum sharing by developing algorithms and protocols that will allow heterogeneous networks to co-exist and maintain required interference constraints. The proposed framework is based on the novel idea of incorporating detailed real-time measurements and prediction of spectrum usage, including traffic parameters and network topology, into the design of cognitive protocols that respond to the actual spectrum occupancy in time, frequency, and space. The following critical enabling technologies of this framework are being developed: (i) identification of non-cooperative spectrally-overlapped transmitters based on location and modulation parameters; (ii) analysis and tracking of spectrum usage based on traffic estimation and prediction; (iii) cognitive co-existence protocols for spectrum sharing with combined traffic and location awareness. The objective of this research is to comprehensively analyze performance gains achieved by exploiting traffic and location awareness while taking into account estimation and prediction errors, physical limitations, and protocol overhead. The research approach is based on a closed loop between theoretical analysis, implementation, and experimental verification on the reconfigurable wireless testbed and network simulation tools. The algorithms, protocols and tools developed by this research will have practical impact on a broad range of wireless systems that share same spectrum resources including: current and future unlicensed bands, vehicular and safety networks, cellular infrastructure and femto cells, emergency and defense networks.

在不同的无线系统之间进行有效的频谱共享，避免系统间通信，是扩展现有无线技术和发展未来无线技术的核心问题。本提案通过开发允许异构网络共存并保持所需干扰约束的算法和协议，探索了一种集成的物理层和网络层频谱共享方法。所提出的框架基于将频谱使用的详细实时测量和预测（包括流量参数和网络拓扑）纳入认知协议设计的新思想，该协议响应时间、频率和空间上的实际频谱占用情况。正在开发该框架的下列关键使能技术：(i)根据位置和调制参数识别非合作频谱重叠发射机；（ii）根据流量估计及预测，分析及追踪频谱的使用情况；（iii）结合流量和位置感知的频谱共享认知共存协议。本研究的目的是综合分析通过利用流量和位置感知实现的性能增益，同时考虑到估计和预测误差、物理限制和协议开销。研究方法是基于可重构无线试验台和网络仿真工具的理论分析、实现和实验验证之间的闭环。该研究开发的算法、协议和工具将对共享相同频谱资源的广泛无线系统产生实际影响，包括：当前和未来的未授权频段、车辆和安全网络、蜂窝基础设施和femto蜂窝、应急和防御网络。