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Cognitive radio cooperative spectrum...
~
California State University, Long Beach.
Cognitive radio cooperative spectrum sensing.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Cognitive radio cooperative spectrum sensing./
作者:
Balakrishnan, Gautam.
面頁冊數:
1 online resource (37 pages)
附註:
Source: Masters Abstracts International, Volume: 56-03.
標題:
Electrical engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9781369484113
Cognitive radio cooperative spectrum sensing.
Balakrishnan, Gautam.
Cognitive radio cooperative spectrum sensing.
- 1 online resource (37 pages)
Source: Masters Abstracts International, Volume: 56-03.
Thesis (M.S.)--California State University, Long Beach, 2017.
Includes bibliographical references
The effectiveness of a cognitive radio (CR) system depends mainly on involved spectrum sensing techniques. The main aim of CR is for effective utilization of the spectrum opportunistically by sharing it with secondary users (SUs), when the primary user (PU) is absent. In this project, cooperative spectrum sensing using weights based on the distance measures from the PU and Multitaper Method (MTM) method is briefly explained. The results show that MTM method provides more accurate threshold value compared to other methods for low signal to noise ratios (SNRs), hence improving the spectrum sensing technique. The results also show that MTM method requires a lesser number of Orthogonal Frequency Division Multiplexing (OFDM) sub-blocks compared to Periodogram (PE) for the same performance.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369484113Subjects--Topical Terms:
596380
Electrical engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Cognitive radio cooperative spectrum sensing.
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The effectiveness of a cognitive radio (CR) system depends mainly on involved spectrum sensing techniques. The main aim of CR is for effective utilization of the spectrum opportunistically by sharing it with secondary users (SUs), when the primary user (PU) is absent. In this project, cooperative spectrum sensing using weights based on the distance measures from the PU and Multitaper Method (MTM) method is briefly explained. The results show that MTM method provides more accurate threshold value compared to other methods for low signal to noise ratios (SNRs), hence improving the spectrum sensing technique. The results also show that MTM method requires a lesser number of Orthogonal Frequency Division Multiplexing (OFDM) sub-blocks compared to Periodogram (PE) for the same performance.
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