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A Robust Cooperative Spectrum Sensing-Assisted Multiuser Resource Allocation Scheme

机译：鲁棒的协作频谱感知辅助多用户资源分配方案

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摘要

Cognitive radio (CR), which is proposed as a solution for spectrum scarcity, imposes some threats to the network. One severe attack to cognitive radio network is the primary user emulation attack (PUEA), in which an attacker may transmit its signal with high power or mimic specific features of the primary user's signal to prevent secondary users from accessing the licensed spectrum. In this paper, we study a subcarrier and power allocation problem for orthogonal frequency division multiple access-(OFDMA-) based CR systems in the presence of PUEA. To maximize the system throughput while keeping the interference introduced to the primary user (PU) below given thresholds with a certain probability, a joint design of a robust cooperative spectrum sensing and a resource allocation scheme is proposed. In the proposed scheme, the inaccurate classification of PU signals and PUEA signals provided by robust cooperative spectrum sensing is utilized by resource scheduling module. To further exploit the underutilized spectrum bands, we also evaluate the performance of the proposed scheme in the hybrid overlay/underlay spectrum access mechanism. Numerical results demonstrate the effectiveness of the proposed scheme compared to conventional scheme regardless of the number of SUs or the kind of spectrum access mechanism being used.
机译：认知无线电（CR）作为频谱稀缺的解决方案而提出，对网络构成了一定的威胁。对认知无线电网络的一种严重攻击是主要用户仿真攻击（PUEA），在该攻击中，攻击者可能以高功率传输其信号或模仿主要用户信号的特定功能，以防止次要用户访问许可频谱。在本文中，我们研究了存在PUEA时基于正交频分多址（OFDMA）的CR系统的子载波和功率分配问题。为了最大化系统吞吐量，同时以一定的概率将引入主用户（PU）的干扰保持在给定阈值以下，提出了一种鲁棒协作频谱感知和资源分配方案的联合设计。在该方案中，资源调度模块利用鲁棒协作频谱感知提供的PU信号和PUEA信号的不准确分类。为了进一步利用未充分利用的频谱带，我们还评估了该方案在混合覆盖/底层频谱访问机制中的性能。数值结果表明，与常规方案相比，该方案的有效性与SU的数量或所使用的频谱接入机制的类型无关。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第5期|839698.1-839698.12|共12页
  • 作者

    Du Jun; Guo Daoxing; Zhang Bangning; Su Yunxia;

  • 作者单位

    PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China.;

    PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China.;

    PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China.;

    PLA, Unit 72241, Jinan 250029, Shandong, Peoples R China.;

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