Secure crowdsourced radio environment map construction
Secure crowdsourced radio environment map construction
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DOI：
10.1109/icnp.2017.8117556
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Yidan Hu;Rui Zhang
中科院分区：
文献类型：
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作者：
Yidan Hu;Rui Zhang
数据库驱动的动态频谱共享（DSS）是联邦通信委员会（FCC）为提高频谱效率而采用的事实上的技术范例。在这样的系统中，地理位置数据库管理员（DBA）维护其服务区域上的频谱可用性信息，从而确定次要用户是否可以在其期望的位置和时间访问许可频谱带。为了维持其服务区域内的频谱可用性，DBA 需要定期收集频谱测量结果，从而构建和维护无线电环境图 (REM)，其中直接测量或通过适当的统计空间插值技术估计每个感兴趣位置的接收信号强度。基于众包的频谱感知是一种很有前途的方法，用于定期收集大范围地理区域的频谱测量结果，但不幸的是，这种方法很容易受到错误频谱测量的影响。如何在存在错误测量的情况下构建准确的 REM 仍然是一个悬而未决的挑战。本文介绍了 SecREM，这是一种在存在虚假频谱测量的情况下安全构建 REM 的新颖方案。 SecREM 依靠少量可信频谱测量来评估移动用户测量的可信度，并逐渐纳入最可信的测量来构建准确的 REM。基于真实光谱测量数据集的广泛模拟研究证实了 SecREM 的功效和效率。
Database-driven Dynamic Spectrum Sharing (DSS) is the de-facto technical paradigm adopted by Federal Communications Commission (FCC) for increasing spectrum efficiency. In such a system, a geo-location database administrator (DBA) maintains spectrum availability information over its service region whereby to determines whether a secondary user can access a licensed spectrum band at his desired location and time. To maintain spectrum availability in its service region, it is desirable for the DBA to periodically collect spectrum measurements whereby to construct and maintain a Radio Environment Map (REM), where the received signal strength at every location of interest is either directly measured or estimated via proper statistical spatial interpolation techniques. Crowdsourcing-based spectrum sensing is a promising approach for periodically collecting spectrum measurements over a large geographic area, which is, unfortunately, vulnerable to false spectrum measurements. How to construct an accurate REM in the presence of false measurements remains an open challenge. This paper introduces SecREM, a novel scheme for securely constructing a REM in the presence of false spectrum measurements. SecREM relies on a small number of trusted spectrum measurements whereby to evaluate the trustworthiness of the measurements from mobile users and gradually incorporate the most trustworthy ones to construct an accurate REM. Extensive simulation studies based on a real spectrum measurement dataset confirm the efficacy and efficiency of SecREM.