Performance-traffic-trade-off of two novel hard decision and two soft decision fusion periodogram-based algorithms for cooperative spectrum sensing under unreliable reporting channel

• Published in: IET microwaves, antennas & propagation antennas & propagation, 2020-11, Vol.14 (14), p.1683-1695
• Main Authors: dos Santos Costa, Lucas, de Souza, Rausley A.A
• Format: Article
• Language: English
• Subjects: centralised cooperative sensing; channel coding; channel encoding; channel occupation state; circular folding cooperative power spectral density split cancellation algorithm; cognitive radio; cooperative communication; cooperative spectrum sensing; CRs; data traffic; detection performances; fusion centre; hard decision fusion; idle bands detection; local decisions; memory Gilbert–Elliott channel; opportunistic access; performance analysis; periodogram‐based hard decision algorithms; periodogram‐based soft‐decision algorithms; radio spectrum management; sensed band; sensor fusion; share sensing information; signal detection; simple memoryless binary symmetric channel; soft decision fusion periodogram‐based algorithms; soft decision fusion scheme; Special Section: Selected papers from the 13th European Conference on Antennas and Propagation (EuCAP 2019) conference; target band; telecommunication traffic; unreliable reporting channel
• ISSN: 1751-8725; 1751-8733
• DOI: 10.1049/iet-map.2019.0907

Spectrum sensing is one of the most important tasks of cognitive radios (CRs) to detect idle bands for opportunistic access. In centralised cooperative sensing, CRs sense a target band and share sensing information via reporting channel with a fusion centre to decide whether the sensed band is vacant or not. This information can be raw data in soft decision fusion scheme or local decisions on the channel occupation state in hard decision fusion one. A soft decision typically achieves better detection performances, but the hard one intrinsically offers smaller data traffic. This study proposes two periodogram-based hard decision algorithms and makes a detailed performance-traffic-trade-off with two periodogram-based soft-decision algorithms. All the approaches are based on the circular folding cooperative power spectral density split cancellation algorithm. Performance analyses are made under unavoidable errors in the reporting channel. In the first assumption, the simple memoryless binary symmetric channel is adopted. In the second one, the more realist memory Gilbert–Elliott channel is assumed. Results show that the proposed schemes are sensitive to reporting errors, but performance loss can be supplanted with channel encoding, yet keeping the traffic smaller than in the soft decision without channel encoding.