The following publications are possibly variants of this publication:
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- Analysis of the Sample Size Required for an Accurate Estimation of Primary Channel Activity Statistics under Imperfect Spectrum SensingOgeen H. Toma, Miguel López-Benítez, Dhaval K. Patel. pimrc 2020: 1-6 [doi]
- LSTM Autoencoder aided Estimation of Primary Activity Statistics under Imperfect SensingBhargav Patel, Dhaval K. Patel, Brijesh Soni, Miguel López-Benítez, Sagar Kavaiya. comsnets 2021: 242-245 [doi]
- Cooperative Estimation of Primary Traffic Under Imperfect Spectrum Sensing and Byzantine AttacksAhmed Al-Tahmeesschi, Miguel López-Benítez, Valerio Selis, Dhaval K. Patel, Kenta Umebayashi. access, 6:61651-61664, 2018. [doi]
- Investigating the Estimation of Primary Occupancy Patterns under Imperfect Spectrum SensingAhmed Al-Tahmeesschi, Miguel López-Benítez, Janne J. Lehtomäki, Kenta Umebayashi. wcnc 2017: 1-6 [doi]
- Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Imperfect Spectrum SensingOgeen H. Toma, Miguel López-Benítez, Dhaval K. Patel, Kenta Umebayashi. tcom, 68(4):2016-2031, 2020. [doi]
- Primary Channel Duty Cycle Estimation under Imperfect Spectrum Sensing Based on Mean Channel PeriodsOgeen H. Toma, Miguel López-Benítez, Dhaval K. Patel, Kenta Umebayashi. globecom 2019: 1-6 [doi]
- On the Sample Size for the Estimation of Primary Activity Statistics Based on Spectrum SensingAhmed Al-Tahmeesschi, Miguel López-Benítez, Dhaval K. Patel, Janne Lehtomäki, Kenta Umebayashi. tccn, 5(1):59-72, 2019. [doi]