eISSN:2278-5299

International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35

A News Letter Sign UP!
NON-PARAMETRIC SPECTRUM SENSING ALGORITHM FOR TELEVISION WHITE SPACE APPLICATIONS

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.8 Issue 2, pp 13-18,Year 2019

NON-PARAMETRIC SPECTRUM SENSING ALGORITHM FOR TELEVISION WHITE SPACE APPLICATIONS

I.H.Usman , E.E. Omizegba , J.D.Jiya. , G.A. Bakare

Received : 16 April 2019; Accepted : 24 April 2019 ; Published : 30 April 2019

Share
Download 126
View 192
Article No. 10970
Abstract

The ever increasing demand for wireless broadband services has imposed severe bandwidth constraints on wireless communication system. This challenge has necessitated the emergence of cognitive radio technology that implements the dynamic spectrum access for spectrum utilization by sensing and using the underutilized spectrum on co-primary basis without interference to the primary users. In this paper, an energy-based, nonparametric spectrum sensing algorithm was proposed and implemented in MATLAB. The consistent TV signal estimation was done by Blackman-Tukey windowing. The result showed the PSD in terms of dB and dBm of the free, busy and interfered instantaneous TV channels at UHF range from channel 21 through channel 69. The detectable TV signals’ threshold was set to be at -114 dBm and RxLEV of the TV channels showed channel number 46 with about -117 dBm to be the best candidate channel for TVWS applications at that simulation time..

Key Words   
Nonparametric, PSD, TVWS, RxLEV, UHF
Copyright
References
  1. Zhang, R., Miao W., Lin X C., Zhongming Z., Xuemin S.,  And  Liang-Liang X.(2015) LTE-Unlicensed: The Future Of Spectrum Aggregation for Cellular Networks, IEEE Wireless Communications,  PP 150 – 159.
  2. Arslan, R., Haad A., Mahmood A.K., Haq I. &  Mustapha   S. (2015). Efficient Allocation of TV White Spaces for Cognitive Radio in Pakistan, International Journal of Computer Networks and Communications Security 3(3): 74-77
  3. Amana, E.I (2017). DSO  Journey: The  Story  so  Far,   DSO Training for Staff of NBC Zonal office, Powerpoint Presentation, Ibadan Nigeria, www.digiteamnigeria.gov.ng
  4. Ukwela, F. (2017). The Concept of Digital Broadcasting, Free TV Newsletter, Cable Channel Nigeria Limited (CCNL), 1: 6-9.
  5. El-Moghazi, M., Whalley J. & Irvine J. (2013) European influence in ITU-R: The end of  an era of dominance? 24th European Regional Conference of the International Telecommunication Society, International Telecommunications Society (ITS) Florence, Italy.
  6. SOLDER Consortium (2014) Spectrum Overlay through         Aggregation of Heterogeneous Dispersed Bands, D3.1Initial report, European Commission Information Society and Media.
  7. IEEE 802.20 (2011) Part 22: Cognitive Wireless RAN Medium Access Control (MAC) And Physical Layer (PHY) Specifications: Policies and Procedures for Operation in the TV Bands, IEEE
  8. Chakraborty, M.,  Bera R.,  Pradhan P., Pradhan R. &.Sunar S.(2010). Spectrum sensing and Spectrum shifting implementation in a Cognitive Radio based IEEE 802.22 Wireless Regional Area Network, International Journal on Computer Science and Engineering 2(4): 1477-1481
  9. Arooj, F. (2017).Real-Time Implementation of Spectrum Sensing Techniques in Cognitive Radios, Masters Theses  Published, University of Windsor, Canada, https://scholar.uwindsor.ca/etd
  10. Telecommunication Engineering Center, (2008) Broadband Deployment through TV- White Space, Radio Division, India.
  11. Yue, G.,  Mishca D., and Zhijin Q.(2016) Scalable and Reliable IoT Enabled by Dynamic Spectrum Management for M2M in LTE-A, Accessed from https://www.researchgate.net/publication/301829152  on January, 2018
  12. www.wikipedia.com,  Spectral Density Estimation, from:https://en.wikipedia.org/wiki/Spectral_density_estimation  retrieved on March   2018.
  13. pawoye, I., Faruk N. Bello O.W & Ayeni A. A.  (2013. Recent Trends on TV White Space Deployments in Africa, Nigerian Journal of Technology (NIJOTECH): 34(3): 556 – 563
  14. Stephen, J. S., Ahmed K. S. & Wenyi Z. (2009). Technical Challenges for Cognitive Radio in the TV White Space Spectrum Accessed from https://www.researchgate.net/publication/224493579_Technical_challenges_for_cognitive_radio_in_the_TV_white_space_spectrum  on March 2018
  15. Jaap,  B.,  Janne R., Andreas A. and Petri M. (2011).TV white space in Europe, IEEE  Transactions on Mobile  Computing.   http://dx.doi.org/10.1109/TMC.2011.203
  16. Atimati, E.E., Ezema L. S., Ezeh G. N., Iwuchukwu U. C. & Agubor C. K.  (2015).  A Surveyon the Availability of TV White Spaces in Eastern Nigeria (FUT Owerri, As Case Study)  International Journal of Scientific & Engineering Research, 6(12): 609 – 614
  17. Nasir, F., Yinusa. A. A. & Adeseko A. A. (2014). TV white space in Nigeria in UHF band: Geo-spatial approach, Accessed from   https://www.researchgate.net/publication/275523124   on Jan 2018
  18. Santosh, K. and Maziar N.  (2012) Is Wireless Broadband Provision to Rural Communities in TV Whitespaces Viable? A UK Case Study and Analysis, IEEE Symposium on Dynamic Spectrum Access Networks, 7(12): 461-466
  19. Sanusi, O.I and Gbenga-Ilori A.O (2014)  LTE and  Future DTV Compatibility Study in the UHF band in Nigeria, International Journal of Scientific & Engineering Research (IJER),  5(6): 491-497
  20. Carlson Wireless Technologies, Inc (2016), Broadband solutions to serve non-line-of-sight customers, Foster Avenue Arcata, CA 95521 USA, www.carlsonwireless.com
  21. Ikuma, T & Mort N.P.(2010). Autocorrelation-Based Spectrum Sensing Algorithms for Cognitive Radios IEEE Transactions on Vehicular Technology, 59(2)
  22. Yasin M. (2002). Improved Wideband Spectrum Sensing Methods for Cognitive Radio, Published M.Sc Thesis,Amirkabir University Tehran.
  23. Leopoldo, A,, Domenico C.,  Luigi F., &  Gianfranco M. (2013). PSD estimation in Cognitive Radio systems: a performance analysis 19th Symposium IMEKO TC 4 Symposium and 17th IWADC Workshop Advances in Instrumentation and Sensors Interoperability July 18-19, Barcelona, Spain
  24. Shahzad, K,, Saleem S.,  Aziz W., and  Islam Q. (2013) Periodogram Spectrum Sensing Using Blackman Tukey Method in Matlab, World Applied Sciences Journal 21 (12): 1729-1733
  25. Fatima, S. (2015). Spectrum Sensing Techniques For  Cognitive Radio Networks, Retrieved on February 05, 2018 from,   https://arxiv.org/ftp/arxiv/papers/1710/1710.02668.pdf
  26. SACRA Project (2010) Spectrum & Energy Efficiency through multi-band Cognitive Radio, Seventh Framework Programme, European Commission – 249060, FP7-ICT-2007
  27. Steve, S. (2010). Cognitive Radio in the TV White Space: Challenges and Some  Solutions, Corporate R and D, Qualcomm, Inc.
  28. Hassanpour, Payam M. & Mariam Z. (2016). Spectrum Estimation, Advanced Digital Signal Processing Seminar,Department of  Electronic Engineering Noushirvani University, Iran. Retrieved on December 12, 2017 from:  http://slideplayer.com/slide/8616309/
  29. Ibiyemi T.S &Gbenga-Ilori A.O. (2010). Directing the Digital Dividend towards Bridging the Digital Divide in Nigeria, European Journal of Scientific Research 45(1):079-088,  http://www.eurojournals.com/ejsr.htm
To cite this article

I.H.Usman , E.E. Omizegba , J.D.Jiya. , G.A. Bakare , " Non-parametric Spectrum Sensing Algorithm For Television White Space Applications ", International Journal of Latest Research in Science and Technology . Vol. 8, Issue 2, pp 13-18 , 2019


Responsive image

MNK Publication was founded in 2012 to upholder revolutionary ideas that would advance the research and practice of business and management. Today, we comply with to advance fresh thinking in latest scientific fields where we think we can make a real difference and growth now also including medical and social care, education,management and engineering.

Responsive image

We offers several opportunities for partnership and tie-up with individual, corporate and organizational level. We are working on the open access platform. Editors, authors, readers, librarians and conference organizer can work together. We are giving open opportunities to all. Our team is always willing to work and collaborate to promote open access publication.

Responsive image

Our Journals provide one of the strongest International open access platform for research communities. Our conference proceeding services provide conference organizers a privileged platform for publishing extended conference papers as journal publications. It is deliberated to disseminate scientific research and to establish long term International collaborations and partnerships with academic communities and conference organizers.