Download Cognitive Wireless Networks Using the CSS Technology by Meiling Li, Anhong Wang, Jeng-Shyang Pan PDF

By Meiling Li, Anhong Wang, Jeng-Shyang Pan

The goal of this booklet is to supply a few important tips on how to increase the spectrum sensing functionality in a scientific method, and indicate an efficient procedure for the applying of cognitive radio know-how in instant communications. The booklet provides a a state of the art survey and proposes a few new cooperative spectrum sensing (CSS) tools trying to in achieving higher functionality. for every CSS, the most notion and corresponding set of rules layout are elaborated intimately. This booklet covers the basic suggestions and the middle applied sciences of CSS, in particular its most recent advancements. each one bankruptcy is gifted in a self-sufficient and self reliant manner in order that the reader can decide on the chapters fascinating to them. The methodologies are defined intimately in order that the readers can repeat the corresponding experiments simply. will probably be an invaluable ebook for researchers assisting them to appreciate the classifications of CSS, inspiring new principles concerning the novel CSS expertise for CR, and studying new principles from the present prestige of CSS. For engineers, it will likely be a great guidebook to strengthen useful functions for CSS.

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In: Proceedings 50th annual IEEE global telecommunications conference, GLOBECOM 2007. Washington, DC, United States, pp 2947–2951 44. Kam M, Zhu Q, Gray WS (1992) Optimal data fusion of correlated local decisions in multiple sensor detection systems. IEEE Trans Aerosp Electron Syst 28(3):916–920 45. Chen B, Jiang RX, Kasetkasem T et al (2004) Channel aware decision fusion in wireless sensor networks. IEEE Trans Signal Process 52(12):3454–3458 46. Chair Z, Varshney PK (1986) Optimal data fusion in multiple sensor detection systems.

Xidian University, Xian 35. Guo CL, Feng CY, Zeng ZM (2010) Cognitive radio network technologies and application. Publishing House of Electronics Industry, Beijing 36. Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 23(2):201–220 37. Zhang GW (2011) Spectrum sensing algorithms for cognitive radio networks. Shandong University, Jinan 38. Brodersen RW et al (2004) Coruvs: a cognitive radio approach for usage of virtual unlicensed spectrum. Berkeley Wireless Research Center (BWRC) White paper 39.

Assume that SU i fails to send its decision to the FC due to heavy shadowing in its reporting channel. This is the case when the received signal power is so weak that it is merged into the noise. In this case, FC has to make a random decision if it incorporates such an unreliable SU into the cooperative decision. Hence, using some unreliable cognitive radios cannot improve the CSS performance. To address this issue, FC could censor the SNR of the received signal to check whether this cognitive radio is reliable enough before counting it into the cooperative decision.

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