Aderonmu, AIRotimi, AHMasonta, Moshe TMzyece, M2013-04-032013-04-032012-11Aderonmu, AI, Rotimi, AH, Masonta, MT and Mzyece, M. 2012. VHF spectrum monitoring using Meraka cognitive radio platform. 4th International IEEE EAI Conference on e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2012), Yaounde, Cameroon, 12-14 November 2012http://www.docstoc.com/docs/140882645/AFRICOMM-2012_BAYOhttp://hdl.handle.net/123456789/66424th International IEEE EAI Conference on e-Infrastructure and e-Services for Developing Countries (AFRICOMM 2012), Yaounde, Cameroon, 12-14 November 2012Radio Frequency (RF) spectrum is a natural resource widely used by wireless network operators to provide radio communications or transmission systems (e.g. telephone operators and TV broadcast stations). Scarcity of RF spectrums has led to the enhancement of new techniques for better utilization of the RF spectrums. The questions asked are how much RF spectrum is available and can be used opportunistically and dynamically without interfering with licensed or primary users (PUs)? More so, how will the frequency at which the PU is operating are protected against its usage by the unlicensed or secondary user (SU)? In this paper, we present work that is currently going on with regard to the use of Software Defined Radio (SDR) to utilize RF spectrum usage. We discuss the Meraka Cognitive Radio Platform (MCRP) developed using the second version of the Universal Serial Radio Peripheral (USRP2) hardware and the GNU Radio software. We also discussed how the spectrum monitoring system is being implemented on the MCRP. Lastly, the result of the measurements which were conducted using the MCRP is also presented. These measurements were conducted in South Africa.enRadio FrequencyMeraka Cognitive Radio PlatformCognitive radioGNU RadioSpectrum managementUniversal software radio peripheralTelevisionWhite spacesConference PresentationAderonmu, A., Rotimi, A., Masonta, M. T., & Mzyece, M. (2012). VHF spectrum monitoring using Meraka cognitive radio platform. Springer. http://hdl.handle.net/123456789/6642Aderonmu, AI, AH Rotimi, Moshe T Masonta, and M Mzyece. "VHF spectrum monitoring using Meraka cognitive radio platform." (2012): http://hdl.handle.net/123456789/6642Aderonmu A, Rotimi A, Masonta MT, Mzyece M, VHF spectrum monitoring using Meraka cognitive radio platform; Springer; 2012. http://hdl.handle.net/123456789/6642 .TY - Conference Presentation AU - Aderonmu, AI AU - Rotimi, AH AU - Masonta, Moshe T AU - Mzyece, M AB - Radio Frequency (RF) spectrum is a natural resource widely used by wireless network operators to provide radio communications or transmission systems (e.g. telephone operators and TV broadcast stations). Scarcity of RF spectrums has led to the enhancement of new techniques for better utilization of the RF spectrums. The questions asked are how much RF spectrum is available and can be used opportunistically and dynamically without interfering with licensed or primary users (PUs)? More so, how will the frequency at which the PU is operating are protected against its usage by the unlicensed or secondary user (SU)? In this paper, we present work that is currently going on with regard to the use of Software Defined Radio (SDR) to utilize RF spectrum usage. We discuss the Meraka Cognitive Radio Platform (MCRP) developed using the second version of the Universal Serial Radio Peripheral (USRP2) hardware and the GNU Radio software. We also discussed how the spectrum monitoring system is being implemented on the MCRP. Lastly, the result of the measurements which were conducted using the MCRP is also presented. These measurements were conducted in South Africa. DA - 2012-11 DB - ResearchSpace DP - CSIR KW - Radio Frequency KW - Meraka Cognitive Radio Platform KW - Cognitive radio KW - GNU Radio KW - Spectrum management KW - Universal software radio peripheral KW - Television KW - White spaces LK - https://researchspace.csir.co.za PY - 2012 T1 - VHF spectrum monitoring using Meraka cognitive radio platform TI - VHF spectrum monitoring using Meraka cognitive radio platform UR - http://hdl.handle.net/123456789/6642 ER -