Bilişsel Radyo Uygulamaları için Uzun Süreli Spektrum Doluluk Ölçümleri: Samsun Şehir Merkezi Örneği
Year 2020,
Volume: 8 Issue: 3, 1840 - 1851, 31.07.2020
Zafer Albayrak
,
Çetin Kurnaz
,
Serap Karagöl
Abstract
Bu çalışmada Samsun şehir merkezinde 470 MHz - 790 MHz frekans aralığında, spektrumun en yoğun olduğu bölgede, 7 farklı günde ve 14 farklı zamanda spektrum doluluk ölçümleri yapılmıştır. Ölçümlerde RTL2832U-R820T spektrum analizörü kullanılmıştır. Spektrum doluluk değerlendirmelerinde referans olarak -40 dB ve -45 dB sinyal gücü seçilmiştir. Ölçüm sonuçlarından spektrum doluluk oranlarının zamana bağlı olarak değişkenlik gösterdiği bazı kanalların gün içerisinde kullanılmadığı veya sinyal kalitesinin kullanılmayacak kadar düştüğü görülmüştür. -40 dB referans sinyal seviyesi için 320 MHz’lik spektrumun en fazla % 60’ı kullanılırken, -45 dB için bu oran %55’dir. Dolayısıyla seçilen ölçüm noktası için gün içinde 144 MHz’e yakın bir spektrum kullanılmamaktadır. Bu değer analog TV frekans bandında (470 MHz - 790 MHz) bilişsel radyo uygulamalarından olan IEEE 802.11af ve IEEE 802.22 kablosuz sistemlerinin rahatlıkla kullanılabilir olduğunu göstermektedir.
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Long Term Spectrum Occupancy Measurements for Cognitive Radio Applications: Samsun City Center Example
Year 2020,
Volume: 8 Issue: 3, 1840 - 1851, 31.07.2020
Zafer Albayrak
,
Çetin Kurnaz
,
Serap Karagöl
Abstract
In this study, spectrum occupancy measurements were performed in seven different days and 14 different times between 470 MHz and 790 MHz frequency band in the most dense spectrum part of Samsun city center. RTL2832U-R820T spectrum analyzer was used for measurements. In the spectrum occupancy evaluations, -40 dB and -45 dB signal strength levels was selected as reference. It was seen from the measurement results that some channels where spectrum occupancy rates vary according to time are not used during the day or signal quality is reduced to not use. Up to 60 % of the 320 MHz spectrum is used for the -40 dB reference signal level, while for -45 dB this rate is 55 %. Therefore, a spectrum close to 144 MHz per day is not used for the selected measurement location. This value shows that the cognitive radio applications such as IEEE 802.11af and IEEE 802.22 wireless systems in analog TV frequency band (470 MHz-790 MHz) can be used easily.
References
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- [6] W. Zhang, Y. Sun, L. Deng, C. K. Yeo and L. Yang, “Dynamic Spectrum Allocation for Heterogeneous Cognitive Radio Networks With Multiple Channels,” IEEE Systems Journal, vol. 13, no. 1, pp. 53-64, 2019.
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- [14] D. C. Hieu, P. V. Tien, “Assessment of TV White Space in Vietnam,” International Conference on Advanced Technologies for Communications, Vietnam, Oct. 15-17, 2014.
- [15] N. Wang, T. Gao, Y. Chen, E. Bodanese, L. Cuthbert, “Performance Evaluation of Power Control Algorithm for TV White Space Resource in UK,” presented at 7th International ICST Conference on Communications and Network in China, Kunming, China. 2012.
- [16] T. Shimomura, T. Oyama, H. Seki, “Analysis of TV White Space in Japan,” presented at IEEE Vehicular Technology Conference (VTC Fall), Quebec, Canada. 2012.
- [17] J. V. Beek, J. Riihija, A. Achtzehn, M. Petri, “IEEE TV white space in Europe,” IEEE Transaction on Mobile Computing, vol. 11, no. 2, pp. 178-188, 2012.
- [18] M. Nekovee, “Cognitive radio access to TV white spaces: spectrum opportunities, commercial applications and remaining technology challenges,” presented at IEEE Symposium on New Frontier in Dynamic Spectrum, Singapore, Singapore. 2010.
- [19] R. Jantti, J. Kerttula, K. Koufos, K. Ruttik, “Aggregate interference with FCC and ECC white space usage rules: case study in Finland,” presented at IEEE Symposium on New Frontier in Dynamic Spectrum Access Networks, Aachen, Germany. 2011.
- [20] P. Flynn, “White space potentials and realities,” White paper, Texas instruments, Texas, USA, Jan. 2013. [Online]. Available: http://www.newelectronics.co.uk/article-images/47921/spry227.pdf
- [21] G. Naik, S. Singbal, A. Kumar, A. Karandikar, “Quantitive assessment of TV white space in India,” presented at 20th National Conference on Communications, Kanpur, India. 2014.
- [22] Ç. Kurnaz, Z. E. Albayrak, “Measuring and evaluating TV white spaces in Samsun, Turkey,” Journal of New Results in Science, vol. 12, pp. 139-148, 2016.
- [23] Ç. Kurnaz, B. K. Engiz, Z. E. Albayrak, “Determination of TV white space spectrum availability in Samsun Turkey,” presented at 24th Telecommunications Forum TELFOR, Belgrade, Serbia. 2016.
- [24] H. Maloku, Z. L. Fazliu, M. Ibrani, A. Mekuli, E. Sela, M. Rajarajan, “Measurement of Frequency Occupancy Levels in TV Bands in Urban Environment in Kosovo,” presented at 18th Mediterranean Microwave Symposium (MMS), Istanbul, Turkey, 2018.
- [25] R. T. Loquias, C. A. G. Hilario, M. F. D. d. Guzman, J. J. S. Marciano, “Quantitative Assessment of TV White Space in the Western Philippine Nautical Highway,” presented at IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Newark, NJ, USA, 2019.
- [26] S. W. Oh, Y. Ma, M.H. Tao, E. Peh, “TV White Space: The First Step Towards Better Utilization of Frequency Spectrum,” Wiley-Blackwell, 2016.
- [27] A. K. Mishra, D. L. Johnson, “White Space Communication Advances, Developments and Engineering Challenges,” Springer International Publishing, 2015.
- [28] J. H. Martin, L.S. Dooley, K.C.P. Wong, “Cognitive Radio and TV White Space (TVWS) Applications. In: W. Zhang (eds) Handbook of Cognitive Radio”. Springer, 2019.
- [29] Z. Zhao, M. C. Vuran, D. Batur, E. Ekici, “Shades of White: Impacts of Population Dynamics and TV Viewership on Available TV Spectrum,” IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 2427-2442, 2019.
- [30] L. S. Aji, F. H. Juwono, G. Wibisono, D. Gunawan, “Proposal for Improving White-Space Channel Availability,” IEEE Access, vol. 6, pp. 59528-59539, 2018.
- [31] W. Zhang, J. Yang, G. Zhang, L. Yang, C. Kiat Yeo, “TV white space and its applications in future wireless networks and communications: a survey,” IET Communications, vol. 12, no. 20, pp. 2521-2532, 2018.
- [32] D. Lekomtcev, , R. Maršálek, “Comparison of 802.11af and 802.22 standards – physical layer and cognitive functionality,” Elektrorevue, vol.3, no.2, pp.12-18, 2012.