Efficient Error Detection in Soft Data Fusion for Cooperative Spectrum Sensing

Dost Muhammad Saqib Bhatti, Saleem Ahmed, Nasir Saeed, Bushra Shaikh

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


The primary objective of cooperative spectrum sensing (CSS) is to determine whether a particular spectrum is occupied by a licensed user or not, so that unlicensed users called secondary users (SUs) can utilize that spectrum, if it is not occupied. For CSS, all SUs report their sensing information through reporting channel to the central base station called fusion center (FC). During transmission, some of the SUs are subjected to fading and shadowing, due to which the overall performance of CSS is degraded. We have proposed an algorithm which uses error detection technique on sensing measurement of all SUs. Each SU is required to re-transmit the sensing data to the FC, if error is detected on it. Our proposed algorithm combines the sensing measurement of limited number of SUs. Using Proposed algorithm, we have achieved the improved probability of detection (PD) and throughput. The simulation results compare the proposed algorithm with conventional scheme.
Original languageEnglish (US)
Pages (from-to)141-147
Number of pages7
JournalAEU - International Journal of Electronics and Communications
StatePublished - Mar 18 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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