Abstract
Dynamic spectrum access has been promoted as a key technology in cognitive radio to achieve better spectrum utilization. It allows unauthorized secondary users to utilize the authorized primary user’s spectrum opportunistically, when primary user is absent. Therefore, it is an important task for secondary users to observe primary user activity in the channel. Implementation of such spectrum access scheme, cognitive radio requires a fast and reliable spectrum sensing technique to monitor primary user activity. Among all the available spectrum sensing schemes, Energy detection is most widely used because of its low complexity. However, the conventional energy detection method produces poor performance in a lower signal regime, resulting in longer sensing duration and low detection probability. To overcome these challenges, we have proposed an adaptive decision threshold approach instead of a fixed decision threshold in a modified Three Event Energy Detection framework. Additionally, a new objective function is formulated prioritizing the PU over SU using a weight factor along with spectrum utilization factor which achieves a better trade-off between the miss detection and false alarm probability. Simulation results illustrate that the proposed approach has improved efficacy in decision error probability and detection performance compared to the existing methods.
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This research work is being carried in collaboration with DRDO-ITR Chandipur.
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Mallick, S., Das, S. & Ray, A.K. A modified three-event energy detection scheme using decision threshold optimization for sensing performance improvement in a cognitive radio system. Wireless Netw 29, 2747–2758 (2023). https://doi.org/10.1007/s11276-023-03349-x
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DOI: https://doi.org/10.1007/s11276-023-03349-x