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A Study on White and Gray Spaces in India

  • Kalpana Naidu
  • Yuva Kumar
  • B. M. Baveja
  • Rakesh Naik
  • Boli Sridhar
  • Shyam Ponnappa
  • Mohammed Zafar Ali Khan
  • S. N. Merchant
  • U. B. Desai
Chapter
Part of the Signals and Communication Technology book series (SCT)

Abstract

TV ‘White Space’ spectrum is characterized by large amounts of geographically available spectrum with excellent propagation characteristics, offering long range and exceptional building penetration compared to the spectrum used by WiFi and Bluetooth equipment. As a result TV white space spectrum is ideal for providing fixed broadband internet services to locations where the routing of cables or optical fibre is neither practical nor economical; and hence important from a developing world perspective. The prospects can be further broadend by considering ‘gray space’ spectrum which is characterized by spectrum that is not fully available in time or space. The amount of TV white space in the VHF and UHF TV band in South India from an analytical point of view is studied. The results are corroborated by extensive experimental data collected from various places in South India. We then present quantitative assessment and estimates for the gray spaces in GSM900 and GSM1800 bands for Hyderabad City. These results are indicative and allow for a whole lot of possibilities. We then describe a unique ‘gray space’ GSM voice call test bed setup at IIT Hyderabad. However, white space and gray space sharing have different policy and governance requirements. We conclude the chapter by discussing possible policy and governance structures from an Indian point of view.

Keywords

White space Gray space Cognitive radio 

Notes

Acknowledgments

The authors would like to thank Deity and DST for supporting this work under two grants to some of the authors.

References

  1. 1.
    Telecom Regulatory Authority of India, http://www.trai.gov.in
  2. 2.
    Ofcom: Digital Dividend Review, A statement on our approach towards awarding the digital dividend (2007)Google Scholar
  3. 3.
    Harrison, K., Mishra, S., Sahai, A.: How much white-space capacity is there? In: IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 1–10. IEEE Press, New York (2010)Google Scholar
  4. 4.
    Nekovee, M.: Quantifying the availability of TV white spaces for cognitive radio operation in the UK. In: IEEE International Conference on Communications (ICC), pp. 1–5. IEEE Press, New York (2009)Google Scholar
  5. 5.
    Jntti, R., Kerttula, J., Koufos, K., and Ruttik, K.: Aggregate interference with FCC and ECC white space usage rules: case study in Finland. In: IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 599–602. IEEE Press, New York (2011)Google Scholar
  6. 6.
    van de Beek, J., Riihijarvi, J., Achtzehn, A., Mahonen, P.: UHF white space in Europe—A quantitative study into the potential of the 470–790 MHz band. In: IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 1–9. IEEE Press, New York (2011)Google Scholar
  7. 7.
    Sridhar, B., Khan, M.Z.A.: Comparison of propagation path models for UHF/VHF bands in India. In: IEEE TENS 2014, pp. 1–6. IEEE Press, New York (2014)Google Scholar
  8. 8.
    Sridhar, B., Khan, M.Z.A.: Adaptive Pervez-Vega model optimized for UHF/VHF bands in India. Technical report, IIT Hyderbad (2013)Google Scholar
  9. 9.
    Draft national frequency allocation plan: wireless planning and coordination wing. Ministry of Communications and Information Technology, Government of India (2011)Google Scholar
  10. 10.
    Specifications for supply of DVB-T2 TV transmiter systtem for setting up DTT at 19 locations. Prasar Bharati, Doordarshan (2010)Google Scholar
  11. 11.
    Mishra, S., Sahai, A.: How much white space is there?: Technical Report UCB/EECS-2009-3, EECS Department, UC Berkeley. http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-3.html. Jan. 2009
  12. 12.
  13. 13.
    Mishra, S.: Maximizing available spectrum for cognitive radios. PhD Thesis UC Berkeley. (2010)Google Scholar
  14. 14.
    Gustafsson, O., Amiri, K., Andersson, D., Blad, A., Bonnet, C., Cavallaro, J.R., Declerck, J., Dejonghe, A., Eliardsson, P., Glasse, M., Hayar, A., Hollevoet, L., Hunter, C., Joshi, M., Kaltenberger, F., Knopp, R., Le, K., Miljanic, Z., Murphy, P., Naessens, F., Nikaein, N., Nussbaum, D., Pacalet, R., Raghavan, P., Sabharwal, A., Sarode, O., Spasojevic, P., Sun, Y., Tullberg, H.M., Vander Aa, T., Van der Perre, L., Wetterwald, M., Wu, M.: Architectures for cognitive radio testbeds and demonstrators An overview. In: Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), pp. 1–6. IEEE Press, New York (2010)Google Scholar
  15. 15.
    Franklin, A.A., Pak, JS., Jung, H., Kim, S.W., You, S.J., Um, J.S., Lim, S., Ko, G.Z., Hwang, S., Jeong, B.J., Song, M.S., Kim, C.J.: Cognitive radio test-bed based on ECMA-392 international standard. In: 7th International Symposium on Wireless Communication Systems, pp. 1026–1030. IEEE Press, New York (2010)Google Scholar
  16. 16.
    shizu, K., Murakami, H., Harada, H.: Cognitive wireless network infrastructure and restoration activities for the earthquake disaster. In: 14th International Symposium on Wireless Personal Multimedia Communications (WPMC), no, pp. 1–5. IEEE Press, New York (2011)Google Scholar
  17. 17.
    Pace, P., Loscri, V.: OpenBTS: a step forward in the cognitive direction. In: 21st International Conference on Computer Communications and Networks (ICCCN), pp. 1–6. IEEE Press, New York (2012)Google Scholar
  18. 18.
    Roberson, D.A.: Structural support for cognitive radio system deployment. In: 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2007. pp. 401–407. IEEE Press, New York (2012)Google Scholar
  19. 19.
    Patil, K., Prasad, R., Skouby, K.: A survey of worldwide spectrum occupancy measurement campaigns for cognitive radio. In: 2011 International Conference on Devices and Communications (ICDeCom), pp. 1–5. IEEE Press, New York (2011)Google Scholar
  20. 20.
  21. 21.
    OpenBTS official page. http://openbts.org/
  22. 22.
    Jon, M.: Peha: spectrum sharing in the gray space. Telecommun. Policy 37(2–3), 167–177 (2013)Google Scholar
  23. 23.
    Force Report, November 2002. Federal Communications Commission (FCC): Promoting efficient use of spectrum through elimination of barriers to the development of secondary markets. Report and order and further notice of proposed rulemaking. (2003) Retrieved from http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-03-113A1.pdf
  24. 24.
    Federal Communications Commission (FCC): Promoting efficient use of spectrum through elimination of barriers to the development of secondary markets. (2004) Retrieved from http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-04-167A1.PDFS

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Kalpana Naidu
    • 1
  • Yuva Kumar
    • 1
  • B. M. Baveja
    • 1
  • Rakesh Naik
    • 1
  • Boli Sridhar
    • 1
  • Shyam Ponnappa
    • 1
  • Mohammed Zafar Ali Khan
    • 1
  • S. N. Merchant
    • 1
    • 2
  • U. B. Desai
    • 1
  1. 1.Department of Electrical EngineeringIIT HyderabadHyderabadIndia
  2. 2.Department of Electrical EngineeringIIT BombayBombayIndia

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