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无线网络中存在信噪比较高的恶意认知用户的情况,为了有效利用可靠的认知无线电(CR)技术用户的本地感知结果,提出了一种基于信任度的信噪比比较协同频谱感知算法,可有效剔除认知网络中存在的信噪比较高的恶意认知用户。仿真实验表明,在存在恶意认知用户的认知无线电网络中,该算法检测性能优于传统的或准则(OR)数据融合的协同频谱感知算法以及基于信噪比比较协同频谱感知算法。 相似文献
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OFDM(正交频分复用)的频谱感知、频谱成形能力及其灵活性、适应性,使其成为WCSN(无线认知传感器网络)的最佳传输技术,可以执行DSA(动态频谱接入)和频谱共享功能。文章给出0FDM的实现原理,研究OFDM系统中的同步问题,分析信道估计面临的两个主要挑战.推导连续和离散时间信号的PAPR(峰均功率比)表达式,分析OFDM系统中的自适应传输优化问题.总结频谱成形的重要性。探讨OFDM在无线认知传感器网络中的应用场景。 相似文献
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无线认知网络(Wireless Cognitive Network,WCN)是在认知无线电(Cognitive Radio,CR)技术基础上形成的网络形态,是当今通信技术的前沿研究领域之一。无线认知网络具有高度智能化能力,能感知网络的环境信息和分辨当前的网络状态,并根据这些状态进行相应的规划、决策和响应。WCN主要应用于机会频谱接入(Opportunistic Spectrum Access)主用户(合法的授权用户,具有较高的优先权接入频谱),而次用户(具有认知功能的非授权用户)通过智能感知周围的无线环境,并在对主用户不造成有害干扰的情况下机会接入授权频谱。 相似文献
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分析和研究了多用户协同频谱感知原理,通过时分方式,实现了多用户之间的频谱共享。同时为避免对主用户产生有害的干扰,从用户通过一种算法控制它的发射功率,保证主用户的通信服务质量。最后对多用户协同频谱感知和单用户频谱感知的性能进行了仿真研究,结果表明多用户协同频谱感知可以明显提高频谱感知的性能,克服阴影/衰落作用的不利影响,提高频谱利用率。 相似文献
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Multiple secondary users(SUs)perform collaborative spectrum sensing(CSS)in cognitive radio networks to improve the sensing performance.However,this system sever... 相似文献
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Yunfei Chen 《Wireless Communications and Mobile Computing》2012,12(5):463-472
The performance of collaborative spectrum sensing is examined for lognormal shadowing channels when secondary user interferences (SUIs) occur. Both soft decision rule and hard decision rule are considered. Computer simulation shows that the SUIs can be ignored in some cases, depending on the signal‐to‐noise ratio (SNR), the signal‐to‐interference ratio, the number of secondary users, the sample correlation, and the decision rule. Thus, by choosing appropriate system parameters, one may conduct collaborative spectrum sensing at the same time as secondary data transmission to save overheads. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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在协作频谱感知网络中,设备故障、信道阴影衰落和噪声等会导致频谱感知器(如手机、平板等)发送的信息不可靠,而恶意用户在协作频谱感知网络中,也会发送错误的感知信息以混淆视听,干扰诚实用户的判决结果。不可靠消息在邻居用户间的传递必将导致感知结果产生偏差和错误,大大降低了协作频谱感知的效率。为解决上述问题,本文将置信传播算法和信誉模型相结合,提出一种基于次用户分组的频谱感知数据伪造(SSDF,Spectrum Sensing Data Falsification)攻击防御方案。该方案分两个阶段对不可靠信息进行过滤:首先,在频谱感知阶段,通过置信传播算法对次用户进行分组,过滤掉因设备故障等因素产生的不可靠用户,剩余用户则视为正常工作用户进行数据融合。然后,在数据融合阶段,根据以信誉值作为权重因子的置信传播算法来计算最终的判决值。本文所提方案分别在感知阶段和融合阶段采取了防御措施,可有效地过滤网络中的不可靠信息,减小恶劣的频谱环境对次用户感知结果的影响。仿真结果表明,本文所提方案迭代次数少、收敛快,有效地减弱了SSDF攻击带来的损害,提高了感知结果的准确性、增强了认知无线网络的安全性。 相似文献
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Optimum number of secondary users in collaborative spectrum sensing considering resources usage efficiency 总被引:2,自引:0,他引:2
《Communications Letters, IEEE》2008,12(12):877-879
The optimum number of secondary users in collaborative spectrum sensing is derived for lognormal shadowing channels, static additive white Gaussian noise channels and Rayleigh fading channels, when the efficiency of resources usage is considered in the system design. By weighting the detection performance and the usage efficiency in a target function that is maximized with respect to the number of secondary users, it is shown that the optimum number of secondary users decreases when the weighting coefficient of the usage efficiency increases, the sample correlation increases, or the SNR increases. 相似文献
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感知无线电中的高效频谱侦测方案 总被引:1,自引:1,他引:0
感知无线电是一种能有效提高频谱利用率的先进技术,他能在主用户没有使用频谱的时候发现并使用"频谱空洞".近来有研究结果表明,在衰落和阴影效应影响下频谱侦测的结果会有大幅度下降.为了削弱衰落和阴影效应的影响联合侦测诞生了,传统的联合侦测方式在每个用户所受衰落不同的情况下不能有效的工作.文章提出一种加权联合侦测来提高联合侦测性能.由大量分析和仿真结果可以表明加权联合侦测能大幅度提高侦测性能. 相似文献
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In cognitive radio networks, the secondary users take chances to access the spectrum without causing interference to the primary users so that the spectrum access is dynamic and somewhat opportunistic. Therefore, spectrum sensing is of significant importance. In this paper, we propose a novel time-domain combining cooperative spectrum sensing framework, in which the time consumed by reporting for one secondary user is also utilized for other secondary users’ sensing. We focus on the optimal sensing settings of the proposed sensing scheme to maximize the secondary users’ throughput and minimize the average sensing error probability under the constraint that the primary users are sufficiently protected. Some simple algorithms are also derived to calculate the optimal solutions. Simulation results show that fundamental improvement of the achievable throughput and sensing performance can be obtained by optimal sensing settings. In addition, our proposed scheme outperforms the general frame structure on either achievable throughput or the performance of average sensing error probability. 相似文献
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为了同时对多个异构信道进行有效地合作频谱感知,并克服现有方法中只考虑检测准确性而忽略感知开销和系统效益,忽略不同认知用户对不同异构信道感知性能的差异以及参与合作感知的认知用户较多等问题,提出了一种贪婪的异构多信道并行合作频谱感知方法。根据对感知开销和传输收益的定义,充分考虑不同认知用户对不同异构信道感知性能的差异,利用贪婪算法在多个认知用户和多个异构信道间最优地进行感知任务分配,使总系统效益最大。仿真结果表明,所提方法与基于迭代匈牙利的并行合作频谱感知方法、改进的基于迭代匈牙利的并行合作频谱感知方法和随机的合作频谱感知方法相比,能够获得较高的总系统效益,且所需的参加合作感知的认知用户数较少。 相似文献
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Spectrum sensing is a key technology to detect spectrum holes in cognitive network. It has been demonstrated that collaboration among cognitive users can improve the probability of detecting the primary users, but the fusion center is the bottleneck when a lot of collaborative information is transmitted. In this paper, we consider the cognitive radio users only transmit part of sensing information to relieve the transmission load. Besides, the sensing information will be inevitably influenced by various noise in the process of transmission. Therefore, the challenge is how we can detect spectrum holes successfully from these incomplete and inexact measurements. Most recently, there are some research results on this but the detection performance is not satisfactory. In this paper, we firstly formulate the collaborative spectrum sensing as an optimization model and then present a novel adaptive orthogonal matching pursuit algorithm by exploiting the sparsity of active primary users. Statistical property of the sensing data plays a crucial role in spectrum sensing. Theoretical analysis shows the presented scheme can detect active primary users rapidly and efficiently. Simulation results verify that the proposed method can obtain better detection performance with stronger noise background, which is more attractive in real applications. 相似文献