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Hyperspectral radiomonitoring implication in cellular base stations emission assessment

DOI 10.18127/j20700970-201804-04

Keywords:

P.N. Zakharov – Ph.D. (Phys.-Math.), Associate Professor, Department of Photonics and Microwave Physics, Faculty of Physics, Lomonosov Moscow State University
E-mail: zakharov1@mail.ru
A.F. Korolev – Ph.D. (Phys.-Math.), Associate Professor, Interim Head of Department of Photonics and Microwave Physics, Faculty of Physics, Lomonosov Moscow State University
E-mail: korolev_phys@mail.ru
A.A. Potapov – Dr.Sc. (Eng.), Ph.D. (Phys.-Math.), MSc (Geography), Leading Research Scientist, Hydrophysical Research Center, Faculty of Physics, Lomonosov Moscow State University
E-mail: al_ptv@mail.ru
A.V. Turchaninov – Leading Research Scientist, Hydrophysical Research Center, Faculty of Physics, Lomonosov Moscow State University
E-mail: aturmail54@mail.ru


Currently the issue of universal hyperspectral radiomonitoring method developing is one of the most significant and essential objectives for instrumental radio spectrum control and monitoring procedures and also for problem-oriented analysis of arbitrary radio frequency electromagnetic fields (RF-EMF).
The article covers hyperspectral radiomonitoring method based upon periodical spectrum scanning developed by the authors. This method provides wide frequency span long term monitoring while ensuring reasonable amount of recorded spectral data.
The spectral data is recoded into text .csv files, which later are exported into standard spreadsheet software for detailed analysis and visualization. The recorded data is eventually transformed into Empirical Probabilistic Amplitude-Frequency Model of Radio Spectrum (EPAFM-RS), which can be used for amplitude-temporal analysis of arbitrary wireless signals.
EPAFM-RS was used for assessment of cellular base stations emission of various types: GSM, UMTS and LTE in three different locations. All radiomonitoring locations were indoors with average distance between corresponding buildings about 1,3 kilometer. Experimental equipment kit, which was used for radiomonitoring, included: radio frequency measuring receiver MWR-135UW, biconical measuring antenna UWBA-18, specially developed software for radio frequency measuring receiver control and spectral data recording, notebook with supplementary equipment (feeders, LAN cables, etc.).
The radiomonitoring settings used for EPAFM-RS compiling included: frequency range 100 MHz – 13 GHz (total bandwidth 12,9 GHz), RBW 100 kHz, scanning period 10 minutes. These settings provided ≈ 480 MB per 24 hours spectral data recording rate.
Experimental approbation demonstrated that EPAFM-RS's parameters variations among cellular standards are significantly greater than between different places in which radiomonitoring had been conducted (variations in corresponding location-based statistical parameters in most cases were within 1…3 dB range), even under considerable absolute radio-frequency electromagnetic field levels variations up to 23,4 dB. The experimental results demonstrated that during 24-hours period radio signal 10-minute average levels variations span were within 8…12 dB range for GSM and UMTS signals and 20…30 dB for LTE signals. Recorded data analysis also shown that LTE signals comprised no more than 10…13 % in total RF-EMF power density.
The cellular base stations emission assessment results show that this kind of radio signals has complicated amplitude-temporal structure. Simultaneous use of obsolete (GSM) and modern (UMTS, LTE) cellular standards in designated downlink frequency ranges – GSM 900 and GSM 1800, necessitate preliminary spectral data analysis for detection of locally utilized cellular standards; this procedure is essential for correct RF-EMF spectral data processing for proper RF-EMF amplitude-temporal variations assessment.
Overall results demonstrated that described hyperspectral radiomonitoring method, based upon periodical spectrum scanning, usability is not limited to certain cellular standards and this method can be customized for arbitrary wireless signals analysis in various radio propagation environments.

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