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ProTOMAC: Proactive Transmit Opportunity Detection at the MAC Layer for Cognitive Radios

机译:ProTOMAC:认知无线电在MAC层上的主动发送机会检测

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Traditional Cognitive Radio Networks aim to utilize the radio spectrum white space. We present a radically different approach which exploits the excess Signal-to-Noise ratios at which the primary network nodes operate. This paper introduces ProTOMAC (Proactive Transmit Opportunity Detection at MAC Layer), the first spectrum access paradigm that leverages the gray space present at the MAC layer via a novel conceptual extension of the Interference Temperature (IT) approach. The ProTOMAC architecture is based on detecting changes in the primary network packet statistics. Specifically, we develop novel techniques based on iteratively updated information theoretic divergence measures along with rapid and accurate kernel density estimators. These enable the secondary network to operate subject to an interference constraint that ensures a given primary network QOS. ProTOMAC presents a generalized scheme for coexistence of dissimilar Packet Based Networks. We provide an efficient implementation of ProTOMAC using commercial off-the-shelf equipment. The coexistence efficacy of ProTOMAC is validated on an IEEE 802.11g WLAN via establishing a 500 kbps secondary link with a range of 3 meters with an early interference detection time of 240-600 ms. For the first time, identification and exploitation of hitherto unutilized transmission opportunities in Packet Based Networks has been made possible.
机译:传统的认知无线电网络旨在利用无线电频谱空白空间。我们提出了一种截然不同的方法,该方法利用了主要网络节点运行时的多余信噪比。本文介绍了ProTOMAC(MAC层上的主动发送机会检测),这是第一个频谱访问范例,它通过对干扰温度(IT)方法的新颖概念扩展来利用MAC层上的灰色空间。 ProTOMAC体系结构基于检测主要网络数据包统计信息中的更改。具体而言,我们基于迭代更新的信息理论差异度量以及快速而准确的核密度估计器,开发了新颖的技术。这些使次要网络能够在确保给定主要网络QOS的干扰约束下运行。 ProTOMAC提出了一种通用的方案,用于基于不同分组的网络的共存。我们使用商用现货设备提供ProTOMAC的有效实施。 ProTOMAC的共存功效在IEEE 802.11g WLAN上通过建立500 kbps的辅助链路(范围为3米)和240-600 ms的早期干扰检测时间进行了验证。首次使基于分组的网络中迄今为止尚未利用的传输机会的识别和利用成为可能。

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