TRUMP: Supporting efficient realization of protocols for cognitive radio networks

Xi Zhang, J. Ansari, Guangwei Yang, P. Mahonen
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引用次数: 21

Abstract

Cognitive radios require fast reconfiguration of the protocol stack for dynamic spectrum access and run-time performance optimization. In order to provide rapid on-the-fly adaptability of PHY/MAC protocols, we have designed and implemented TRUMP: a Toolchain for RUn-tiMe Protocol realization. It includes a meta-language compiler, logic controller and an optimizer. TRUMP allows run-time realization and optimization of cognitive network protocols for the requirements of a particular application, communication capabilities of the radio, the current spectrum regulation and policies. TRUMP supports efficient multi-threading for multi-core platforms in order to meet variable computational requirements and to allow parallelization of PHY/MAC processing for cognitive radio systems. We have carried out the performance evaluation for different metrics on WARP SDR platform and embedded Linux based PCs. Our results indicate that TRUMP allows reconfiguration of protocols in the order of a few microseconds through run-time linking of different components, thus meeting the strict timeliness requirements imposed by PHY/MAC processing.
特朗普:支持认知无线电网络协议的有效实现
认知无线电需要快速重新配置协议栈以实现动态频谱访问和运行时性能优化。为了提供PHY/MAC协议的快速动态适应性,我们设计并实现了TRUMP:一个用于运行时协议实现的工具链。它包括一个元语言编译器、逻辑控制器和一个优化器。TRUMP允许运行时实现和优化认知网络协议,以满足特定应用、无线电通信能力、当前频谱监管和政策的要求。TRUMP支持多核平台的高效多线程,以满足可变的计算需求,并允许认知无线电系统的PHY/MAC处理并行化。我们在WARP SDR平台和基于嵌入式Linux的pc机上进行了不同指标的性能评估。我们的研究结果表明,TRUMP允许通过不同组件的运行时链接以几微秒的顺序重新配置协议,从而满足PHY/MAC处理对严格的时效性要求。
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