Presentation 2013-05-24
Geolocation-based Real Time In-band Spectrum Sensing for Cognitive Networks
Bingxuan ZHAO, Shigenobu SASAKI,
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Abstract(in English) The widely used "quiet periods" have at least two shortcomings: periodical interrupting the secondary transmission will degrade the QoS of secondary networks, e.g., decreasing the system capacity, increasing end-to-end packet delay; tight synchronization, which is difficult to be implemented in the distributed networks, becomes necessary. Aiming to overcome such shortcomings, a geolocation based real time in-band spectrum sensing is proposed in this paper. By using the locations of the primary transmitters and the secondary users, the proposed method is able to differentiate the target primary signal power from the co-channel and adjacent-channel interference produced by the simultaneous data transmissions in the secondary networks. Consequently, the interference can be cancelled when constructing the test statistic for the energy detectors. No prior knowledge of the primary signal is required by the proposed method. Both analyzing and simulation results show that the proposed method is able to successfully cancel the interference and can achieve a good performance.
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Keyword(in English) interference cancellation / coefficient matrix / non-coherent / quiet period / real time spectrum sensing
Paper # SR2013-10
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Committee SR
Conference Date 2013/5/16(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Geolocation-based Real Time In-band Spectrum Sensing for Cognitive Networks
Sub Title (in English)
Keyword(1) interference cancellation
Keyword(2) coefficient matrix
Keyword(3) non-coherent
Keyword(4) quiet period
Keyword(5) real time spectrum sensing
1st Author's Name Bingxuan ZHAO
1st Author's Affiliation Department of Electrical and Electronic Engineering, Niigata University()
2nd Author's Name Shigenobu SASAKI
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Niigata University
Date 2013-05-24
Paper # SR2013-10
Volume (vol) vol.113
Number (no) 57
Page pp.pp.-
#Pages 8
Date of Issue