Enforcement in Spectrum Sharing: Crowd-sourced Blind Authentication of Co-channel Transmitters

Enforcement in Spectrum Sharing: Crowd-sourced Blind Authentication of Co-channel Transmitters
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DOI:
10.1109/dyspan.2018.8610498
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发表时间:
2018-10
期刊:
2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
影响因子:
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通讯作者:
Vireshwar Kumar;He Li;J. Park;Kaigui Bian
Vireshwar Kumar;He Li;J. Park;Kaigui Bian
中科院分区:
其他
文献类型:
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作者:
Vireshwar Kumar;He Li;J. Park;Kaigui Bian

文献摘要

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流氓无线电造成的有害干扰对频谱共享生态系统构成了严重威胁。缓解该问题的一种方法是采用可由执行实体(例如,联邦通信委员会的执行局)使用的执行方案,以通过认证发射机的波形来唯一地识别发射机。在该方法中,对波形进行认证的实施实体不是预期的接收方,因此它必须在很少或根本不知道传输参数的情况下对认证信号进行“盲目”解码。在现实世界的情况下,执法实体可能需要应对其他挑战,包括接收信号的信号强度较差以及来自多个发射机的同时同频道传输。在本文中,我们提出了一种新的概念来有效地解决其中的一些挑战,我们将其称为群源同频发射机盲认证(CBAT)。我们还给出了这一概念的一个具体实例,称为cBAT的频偏嵌入(FREE)。我们的结果表明,FREE通过利用众包的力量,使执法实体能够以良好的准确性盲目认证多个同频道发射机。
The harmful interference caused by rogue radios poses a serious threat to spectrum sharing ecosystems. One approach for mitigating this problem is to adopt an enforcement scheme that can be used by an enforcement entity (e.g., Federal Communications Commission’s Enforcement Bureau) to uniquely identify transmitters by authenticating their waveforms. In this approach, the enforcement entity that is authenticating the waveform is not the intended receiver, and hence it has to decode the authentication signal "blindly" with little or no knowledge of the transmission parameters. In real-world scenarios, an enforcement entity may need to cope with additional challenges, including poor signal strength of the received signals and simultaneous co-channel transmissions from multiple transmitters. In this paper, we propose a novel concept that effectively addresses some of these challenges, which we refer to as Crowd-sourced Blind Authentication of co-channel Transmitters (CBAT). We also present a concrete instantiation of this concept called FREquency offset Embedding for CBAT (FREE). Our results show that FREE enables the enforcement entity to blindly authenticate multiple co-channel transmitters with good accuracy by harnessing the power of crowd-sourcing.