Spectrum Sensing for Cognitive VHF Land Mobile Radio Communication Networks Using Energy Sensing Techniques

Godfrey Niringiye, Isaac Nyabisa Oteyo, Tonny Bulega

Research output: Chapter in Book/Report/Conference proceedingConference paper

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Abstract

The 2015 migration from Very High Frequency (VHF) Analog to Digital Television (TV) created plenty of white spaces in the entire VHF TV Band (174-230 MHz). These white spaces can be used by other wireless applications and internet services whose radio spectrum is already pushed to maximum utilization and is therefore scarce for emerging wireless applications such as IP Television, high-speed wireless internet, cellular telephony, multimedia services, Zigbee, WiMax-Advanced. In this study, we implemented a VHF Land Mobile Radio System (LMRS) that can utilise the Television White Spaces (TVWS) in the upper VHF TV band for mission critical voice transmissions. We detected VHF Land Mobile Radio (LMR) transmissions in the TVWS using energy sensing techniques, with the real-time energy detector developed on the Software-Defined Radio (SDR) testbed composed of RTL-SDR device, VHF Radio and GNU Radio. We used a simulated energy detector using GNU Radio to set the evaluation benchmark. In both, the simulations and the real-time platform, a Narrow Band Frequency Modulation (NBFM) was generated and transmitted through the TVWS. The performance of the implemented real-time energy detector compared to the simulated one was lower, due to the noise distribution being not perfectly Additive White Gaussian Noise (AWGN), and thermal noise from the RTL-SDR. In addition, the transmission in TVWS was high in signal energy compared to transmission in traditional LMR frequency (approximately 10% improvement), and thus improved penetration in remote areas and thick forests.

Original languageEnglish
Title of host publicationProceedings of IEEE AFRICON 2021
EditorsLuzango Mfupe, Shubi Kaijage, Joyce Mwangama, Konstantinos Katzis
PublisherIEEE
Pages362-367
Number of pages6
Volume1
Edition1
ISBN (Electronic)9781665419840
ISBN (Print)978-1-6654-1983-3
DOIs
Publication statusPublished - 15 Sep 2021
EventIEEE AFRICON 2021 - Arusha, Tanzania, United Republic of
Duration: 13 Sep 202115 Sep 2021
https://africon2021.org/

Publication series

NameIEEE AFRICON Conference
Volume2021-September
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033

Conference

ConferenceIEEE AFRICON 2021
CountryTanzania, United Republic of
CityArusha
Period13/09/2115/09/21
Internet address

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