CAREER: Cognitive Co-Existence in Heterogeneous Wireless Networks

在没有系统间通信的情况下，在不同的无线系统之间的有效频谱共享是扩展现有和开发未来无线技术的中心问题。该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，探索了用于频谱共享的集成物理层和网络层方法。所提出的框架是基于将详细的实时测量和频谱使用的预测，包括流量参数和网络拓扑结构，到认知协议的设计，响应于实际的频谱占用的时间，频率和空间的新颖的想法。正在开发该框架的以下关键使能技术：（i）基于位置和调制参数识别非合作频谱重叠发射机;（ii）基于流量估计和预测分析和跟踪频谱使用;（iii）用于频谱共享的认知共存协议，结合流量和位置感知。本研究的目的是全面分析所取得的性能收益，同时考虑到估计和预测误差，物理限制，和协议开销利用交通和位置意识。研究方法是基于理论分析，实现，可重构无线测试床和网络仿真工具的实验验证之间的闭环。本研究开发的算法、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、蜂窝基础设施和毫微微蜂窝、应急和防御网络。

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.