Conventional Combining Scheme in Cooperative Spectrum Sensing
Vivek Gupta1, Narendra S. Beniwal2, S. N. Sharan3
1Vivek Gupta*, Electronics & Comm., GNIOT, Gr. Noida affiliated to Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India.
2Dr. N. S. Beniwal, Electronics & Comm., BIET Jhansi affiliated to Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India.
3Prof. Dr.Shivendra Nath Sharan, Electronics & Comm, NIIT University Nimrana , Nimrana , India.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 29, 2020. | Manuscript published on May 10, 2020. | PP: 299-303 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5019059720/2020©BEIESP | DOI: 10.35940/ijitee.G5019.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Spectrum Sensing (SS) is a key constituent of software defined radio (SDR) or Cognitive radio (CR). Spectrum sensing (SS) investigate the white hole in allotted spectrum to the primary user. Cooperative spectrum sensing (CSS) has work in a best manner than any other spectrum sensing (SS) technique to detect white space or spectrum hole in the licensed spectrum. In this paper we compare various combining scheme that are to be perform at the Fusion centre (FC). Fusion centre (FC) is the central part of Cooperative spectrum sensing (CSS) that combines individual node decision. Simulation has performed for hard and soft combining scheme. According to the simulation the soft combining scheme performed better then hard combining scheme but the complexity and bandwidth (BW) requirement in the soft combining is more than hard combining scheme. In the proposed paper we also explore detection error that is to be present in various combining scheme.
Keywords: Spectrum Sensing (SS), Software Defined Radio (SDR), Fusion Centre (FC), Hard Combining, Soft Combining.
Scope of the Article: Soft Computing