The following publications are possibly variants of this publication:
- 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]
- Long Short-Term Memory Based Spectrum Sensing Scheme for Cognitive Radio Using Primary Activity StatisticsBrijesh Soni, Dhaval K. Patel, Miguel López-Benítez. access, 8:97437-97451, 2020. [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]
- Can primary activity statistics in Cognitive Radio be estimated under imperfect spectrum sensing?Miguel López-Benítez. pimrc 2013: 750-755 [doi]
- 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]
- Methods for Fast Estimation of Primary Activity Statistics in Cognitive Radio SystemsMiguel López-Benítez, Ogeen H. Toma, Dhaval K. Patel, Kenta Umebayashi. wcnc 2020: 1-5 [doi]
- Reconstruction Algorithm for Primary Channel Statistics Estimation Under Imperfect Spectrum SensingOgeen H. Toma, Miguel López-Benítez, Dhaval K. Patel, Kenta Umebayashi. wcnc 2020: 1-5 [doi]