000			02930nam a2200325 i 4500
003			CSPC
005			20251121132144.0
008			251121s2025 ph a b 000 0 eng d
040			_aCSPC _beng _cCSPC _erda
090			_aUTH BSECE C146w 2025
100	1		_aCaldito, Lorenz Anthony S. _eauthor.
245	1	0	_aWassup : _ba low-cost spectrum analyzer for white space monitoring / _cLorenz Anthony S. Caldito, [and 4 others].
300			_a154 leaves.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
502			_aUndergraduate Theses (BSECE) - Electronics Engineering. _cCamarines Sur Polytechnic Colleges, 2025.
504			_aIncludes bibliographic references.
520	3		_aUniversal and affordable internet access, a part of the UN's Sustainable Development Goal (SDG) 9, has been known to catalyze progress. Maximizing spectrum utilization is vital due to the limited bandwidth and increasing demand for wireless communication. However, there is a digital divide in developing countries like the Philippines due to stringent restrictions in the telco market, lack of competition, high entry barriers, and insufficient digital infrastructures. The utilization of Television White Spaces (TVWS) maximizes spectrum use and aims to connect that divide. However, commercially available spectrum analyzers that analyze spectrum availability can be costly. The "Wireless Access to Spectrum Sensing and Analysis with User Data Portability" (WASSUP) provides a portable, low-cost, and long-running solution for measuring spectrum activity and their corresponding GPS and timestamps tags to allow location and time-based spectrum analyses. The two-part system utilizes a microcontroller with an RF Explorer shield and accessory modules for 24-hour data collection. A mobile app is then used for real-time viewing, data analysis, and data extraction. WASSUP is capable of frequencies from 15 MHz 2700 MHz. Measurements were conducted simultaneously with a commercially available low-cost spectrum analyzer in five frequency bands: FM, Digital TV, LTE-700, GSM-900, and 2.4 GHz WiFi. The measurements were visually compared using Waterfall and Cumulative Distribution Function (CDF) plots, and their correlation was investigated using Kolmogorov-Smirnov (K-S) test and Pearson Correlation Coefficient (PCC). Results showed strong agreement between WASSUP and the commercially available spectrum analyzer.
700	1		_aEligoyo, Kyle N. _eauthor.
700	1		_aMonte, Mary Anne L. _eauthor.
700	1		_aOribiada, Angelina T. _eauthor.
700	1		_aZamodio, Michael Richie N. _eauthor.
720			_aLoquias, Rizza T. _eadviser.
720			_aTerano, Harold Jan R. _echair, panelist.
720			_aIsaac, Victor Solito DR. _epanelist.
720			_aBarbonio, Eugene P. _epanelist.
942			_2ddc _n0 _cUM _hC146w _iBSECE _kUTH _m2025
999			_c30905 _d30905