Efficient error detection in soft data fusion for cooperative spectrum sensing |
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| Affiliation: | 1. Dawood University of Engineering and Technology, Pakistan;2. King Abdullah University of Science and Technology, Saudi Arabia;1. Laboratory of Optical Materials and Structures, Institute of Semiconductor Physics, SB RAS, Novosibirsk 630090, Russia;2. Functional Electronics Laboratory, Tomsk State University, Tomsk 634050, Russia;3. Laboratory of Single Crystal Growth, South Ural State University, Chelyabinsk 454080, Russia;4. Radio-Received and Radio-Transmitted Devices Department, Novosibirsk State Technical University, Novosibirsk 630073, Russia;5. Department of Electronic Devices, Novosibirsk State Technical University, Novosibirsk 630073, Russia;6. General Physics Department, Novosibirsk State Technical University, Novosibirsk 630073, Russia;1. Department of Electronics & Communication Engineering, Government Engineering College, Palakkad, India;2. Division of Electronics, School of Engineering, Cochin University of Science & Technology, Cochin, India;1. Dept. of Electronics and Communication Engg, Institute of Engineering and Management (IEM), Gurukul Campus, Sector V, Kolkata, WB 700 091, India;2. Department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata 700 032, India;1. Electrical Engineering Department, College of Engineering at Wadi Aldwaseer, Prince Sattam Bin Abdulaziz University, Saudi Arabia;2. Electronics and Micro-Electronics Laboratory (E. μ. E. L), Faculty of Sciences, University of Monastir, Tunisia;3. Department of Electrical Engineering, Abasyn University Peshawar, Pakistan;1. Department of Electrical Engineering, COMSATS Institute of Information Technology, 47040 Wah Cantt, Pakistan;2. Department of Electrical Engineering, LUMS SSE, 54000 Lahore, Pakistan;3. Department of Computer Science, COMSATS Institute of Information Technology, 47040 Wah Cantt, Pakistan |
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| Abstract: | 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. |
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| Keywords: | Cognitive radio Spectrum sensing Soft combining |
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