{"created":"2020-03-08T23:43:25.401718+00:00","id":2594,"links":{},"metadata":{"_buckets":{"deposit":"27d48b07-67a6-4bf3-b8db-b7c452316646"},"_deposit":{"id":"2594","owners":[],"pid":{"revision_id":0,"type":"recid","value":"2594"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/2594","sets":["1582963390870:1582967549708"]},"communities":["ccm","ccp","kyauksetu","ltc","maas","miit","mlmu","mmu","mtlu","mtu","mub","mude","mufl","pathein","scu","suoe","tcu","tgu","tuh","tum","ucsm","ucsmtla","ucsmub","ucspathein","ucstaungoo","ucsy","udmm","udmy","uit","um","um1","um2","umkn","umm","uphy","urj","uvs","uy","yau","ydbu","ytu","yude","yueco","yufl","yuoe"],"control_number":"2594","item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"REAL-TIME IMPLEMENTATION OF AN ENERGY DETECTION-BASED SPECTRUM SENSING USING USRPN200 AND GNU RADIO","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"In 2008, the Federal Communications Commission (FCC) of the United States decided to allow the use of Cognitive radio (CR) for broadband wireless access in the TV bands as defined under the IEEE 802.22 standards. This was in response to the seeming scarcity problems brought about by the proliferations of wireless devices and applications demanding for more bandwidth. In Cognitive radio, a secondary user is allowed temporary access to frequency bands owned by primary users if the latter are not using it. This has the effect of increasing spectrum efficiency. To ensure that cognitive radios do not interfere with primary users, a reliable spectrum sensing is a key requirement in Cognitive radio.\r In this study, an energy detection-based spectrum sensing method is implemented in a software defined radio (SDR) platform and tested in real-time environment. The primary goal is to develop a spectrum sensing system for quantifying spectral opportunities within Metro Cebu. Because of its low implementation complexity and the fact that it does not require prior knowledge of the transmitted waveforms, Energy detection has gained practical\r significance and thus, is the sensing method used in this study.\r The system's block diagram is shown in Figure 1. The signal sources coming from FM and Analog TV Broadcast stations in the locality were initially used as Primary User (PU) transmitters. Then, to test the performance of the spectrum sensing method under varying signal-to-noise ratio (SNR), a 5.6 MHz wide, 1024-FFT OFDM-based modified ISDB-T signal was generated in another SDR platform using USRPI. The signal is centered at 677 MHz and was so chosen as this is within the ISDB-T UHF band and is currently unoccupied/unassigned in the area where the tests were conducted.\r The TVRX2 50-860 MHz daughterboard front end captures the Radio Frequency (RF) signal, down converts it so the speed of the ADC in the Universal Radio Peripheral (USRP) N200 motherboard can cope with the high frequency RF input signal. The digital down converter (DDC) found in the Field Programmable Array (FPGA) scales down the digitized signal in a programmable even value ranging from 4 to 256 for transfer to the PC host via\r the Ethernet cable. The GNU Radio software installed in the PC host running on Ubuntu 14.04 operating system was used to further process the signal.\r Illustrated m Figure 2 below are some of the waveforms obtained when conducting experimental tests with the wideb and OFDM as the primary user transmitter The left figure is the Wedeb and OFDM Signal generated by USRPI as the primary user. Shown in the middle is the FIT output of the energy detector 1f USRPI is not transmitting indicating absence of PU as observed using GNU Radio spectrum analyzer at 677 MHz and the right figure is the energy detector output when USRPI is transmitting 1ndicating presence of PU m the same band.\r Using the time stamp available m python, the sensing time is shown to bel 09.23 ms. The ocqU1red experimental results of the probability of detection Pd and probability of false alarm pfa, at a given threshold were ≥ 90% and ≤10%, respectively Currently this system is being used in determining spectral occupancy in the UHF band."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Cognitive Radio"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-05-05"}],"displaytype":"preview","filename":"Real-Time implementation of an energy detection-based Spectrum sensing using USRPN200 and GNU Radio.pdf","filesize":[{"value":"1072 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/2594/files/Real-Time implementation of an energy detection-based Spectrum sensing using USRPN200 and GNU Radio.pdf"},"version_id":"7e80c8a9-bbc0-4574-bccf-41ada82d1c66"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_journal_title":"8th AUN/SEED-Net Regional Conference on Electrical and Electronics Engineering"}]},"item_1583103147082":{"attribute_name":"Conference papaers","attribute_value_mlt":[{}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_supervisor(s)":[]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"L1ames, Gerome Jan M."},{"subitem_authors_fullname":"Bañacia, Alberto S."}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Other"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Other"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2015"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"https://uyr.uy.edu.mm/handle/123456789/402"},"item_title":"REAL-TIME IMPLEMENTATION OF AN ENERGY DETECTION-BASED SPECTRUM SENSING USING USRPN200 AND GNU RADIO","item_type_id":"21","owner":"1","path":["1582967549708"],"publish_date":"2020-03-05","publish_status":"0","recid":"2594","relation_version_is_last":true,"title":["REAL-TIME IMPLEMENTATION OF AN ENERGY DETECTION-BASED SPECTRUM SENSING USING USRPN200 AND GNU RADIO"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T02:50:58.016360+00:00"}