Efficient Error Detection in Soft Data Fusion for Cooperative Spectrum Sensing
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
King Abdullah University of Science and Technology, Kingdom of Saudi Arabia
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AbstractThe 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.
CitationSaqib Bhatti DM, Ahmed S, Saeed N, Shaikh B (2018) Efficient Error Detection in Soft Data Fusion for Cooperative Spectrum Sensing. AEU - International Journal of Electronics and Communications. Available: http://dx.doi.org/10.1016/j.aeue.2018.02.011.