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  • 标题:ENERGY BASED SPECTRUM SENSING, POWER SPECTRUM ESTIMATION AND PAPR ANALYSIS FOR COGNITIVE RADIO NETWORKS
  • 本地全文:下载
  • 作者:B. SUSEELA ; D.SIVAKUMAR
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:64
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:An electro magnetic spectrum is the source for all wireless communication. However, communication in this medium is often interrupted by complications such as hidden terminal problem. noise uncertainty and channel uncertainty. In order to provide an efficient solution, in this paper, we propose an energy based spectrum sensing, power spectrum estimation and analysis for cognitive radio networks. In this technique, two hypothesis are used to identify the presence and absence of primary users in the channel. When the channel is not used by primary users the slots are allocated for secondary users. Further, power spectrum is estimated by means of five different methods. Finally, PAPR analysis is performed using the complementary cumulative distribution function (CCDF). The proposed technique is simulated in MATLAB.
  • 关键词:Electro Magnetic Spectrum; CCDF; PAPR; Wireless Communication; Power Spectrum
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