Mochammad Haldi*|Rudy Aryanto|Citra Fadillah
Multi-Antenna Spectrum Sensing using Bootstrap on Cognitive Radio for Internet of Things Application
cognitive radio cr technology used developing technologies like internet things iot one part cr spectrum sensing useful empty spectrum searcher use spectrum considered minimal raises problem scarcity spectrum testing real problem spectrum utilization problem overcome using efficient utilization cr technology using spectrum sensing sensing algorithms usually used suitable filter energy detector cyclostationary enough many antennas detected case multiantenna detection research usually uses generalized likelihood ratio test glrt approach glrt approach detector also three types detectors type3 detectors determine statistical tests however use monte carlo literacy algorithm need lot data get detector performance research combine algorithms using bootstrap determine detector performance using small data using bootstrap basically requires small resampling research wants show type3 detector help detector produce good probabilities using little data expected result glrt approach combined bootstrap type3 detectors arithmetic geometric statistical tests tagm glrt time code space code statistical tests tstbcglrt help determine assumptions pd assumptions experiment carried determine threshold comparing bootstrap monte carlo research expected show bootstrap works without known h0 distribution set threshold times