Survey on performance, reliability and future proposal of Cognitive Radio under wireless computing

A. Umamaheswari, V. Subashini, P. Subhapriya
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引用次数: 7

Abstract

In daily life internet plays a vital role in every aspects of web usage by the end users. Its essential purpose is information retrieval, packet transmission, communication between networks via wired and wireless mode. Subsequently wireless data networks and transmission are renowned by a fixed spectrum obligation policy and therefore that spectrum utilization becomes very significant one, in which new communication techniques are keep on increasing and the spectrum bandwidth remains limited because of unlicensed users. Cognitive radio is an innovatory technology to make use of the limited spectrum more successful. Cognitive Radio (CR) aspires to look up for the spectrum utilization by taking improvement of licensed user or primary user, which are so-called unused spectrum. Cognitive Radio has extensive applications together with dynamic spectrum access allocation and interference management, which will largely blow the NeXt Generation Network (xG) for wireless devices and networks. This new networking model is referred to as NeXt Generation (xG) Network as well as known as Dynamic Spectrum Access (DSA) and Cognitive Radio Networks. Eventually the performance and reliability of CR can be increased through the cross-layer design approach in the (xG) networks. In this paper, we carry out a survey on CR networks from various portions such as waveform, spectrum management and sensing, similarities between intelligent antenna and CR, performance and reliability evaluations etc.
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无线计算下认知无线电的性能、可靠性及未来建议综述
在日常生活中,互联网在最终用户使用网络的各个方面起着至关重要的作用。它的本质目的是通过有线和无线方式进行信息检索、分组传输和网络之间的通信。随着无线数据网络和传输以固定的频谱义务政策而闻名,因此频谱利用变得非常重要,其中新的通信技术不断增加,频谱带宽因无许可用户而受到限制。认知无线电是一种创新技术,可以更有效地利用有限的频谱。认知无线电(Cognitive Radio, CR)希望通过改进授权用户或主用户,即所谓的未使用频谱来查找频谱利用率。认知无线电与动态频谱接入分配和干扰管理一起具有广泛的应用,将在很大程度上推动无线设备和网络的下一代网络(xG)。这种新的网络模式被称为下一代(xG)网络,也被称为动态频谱接入(DSA)和认知无线电网络。最终,在(xG)网络中,通过跨层设计方法可以提高CR的性能和可靠性。本文从波形、频谱管理和感知、智能天线与CR的相似性、性能和可靠性评估等方面对CR网络进行了研究。
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