Abstract
There have been numerous studies conducted on the availability of TV white spaces in India, which show that white spaces are plentiful. If one needs to harness this spectrum, there is a need for techniques to compute suitable locations where secondary base stations can be placed for providing broadband access. To address this issue, we have come up with a planning tool which determines the best locations for placement of secondary antennas based on secondary base station’s coverage area, population of the region, throughput required and other such parameters. Our real-time model uses different propagation models to compute the path loss, and subsequently the throughput using Shannon’s theorem, to determine the optimal placement of secondary TV white space antennas. Experiments with our tool show that it can provide good placement of secondary base stations and provide high throughput to the covered users. We believe that a tool like ours can accelerate the pace of deployment of secondary networks in the TV white space spectrum.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsChange history
06 July 2019
The authors have retracted this chapter [1] because data sets were mistakenly used without acknowledging the original source or asking for permission. All authors agree to this retraction. [1] Iyer M., Vutukuru M. (2018) A Planning Tool for TV White Space Deployments. In: Marques P., Radwan A., Mumtaz S., Noguet D., Rodriguez J., Gundlach M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 228. Springer, Cham
References
ASSET Radio Network Planning Tool. http://www.teoco.com/products/planning-optimization/asset-radio-planning/
Census of India website. http://censusindia.gov.in
Connected nations 2016 downloads, Ofcom. https://www.ofcom.org.uk/research-and-data/infrastructure-research/connected-nations-2016/downloads
Naik, G., Singhal, G., Kumar, A., Karandikar, A.: Quantitative assessment of TV white space in India. In: 2014 Twentieth National Conference on Communications (NCC) (2014)
Google Maps Elevation API. https://developers.google.com/maps/documentation/elevation/start
Google Maps Geocoding API. https://developers.google.com/maps/documentation/geocoding/start
Mauwa, H., Bagula, A.B., Zennaro, M., Lusilao-Zodi, G.-A.: On the impact of propagation models on TV white spaces measurements in Africa. In: 2015 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) (2015)
Egli, J.J.: Radio propagation above 40 MC over irregular terrain. Proc. IRE 45(10), 1383–1391 (1957)
Hata, M.: Empirical formula for propagation loss in land mobile radio services. IEEE Trans. Veh. Technol. 29(3), 317–325 (1980)
Prasad, M., Ahmad, I.: Comparison of some path loss prediction methods with VHF/UHF measurements. IEEE Trans. Broadcast. 43(4), 459–486 (1997)
Holland, O., Kokkinen, H., Wong, S., Friderikos, V., Raman, A., Dohler, M., Lema, M.: Changing availability of TV white space in the UK. Electron. Lett. 52(15), 1349–1351 (2016)
Bahl, P., Chandra, R., Chou, P., Ferrell, J., Moscibroda, T., Narlanka, S., Wu, Y.: KNOWS: kognitiv networking over white spaces. In: IEEE DySPAN (2007)
Murty, R., Chandra, R., Moscibroda, T., Bahl, P.: Senseless: a database-driven white spaces network. IEEE Trans. Mob. Comput. 11(2), 189–203 (2012)
Radio Propagation Models. http://people.seas.harvard.edu/~jones/es151/prop_models/propagation.html
Ghosh, S., Naik, G., Kumar, A., Karandikar, A.: OpenPAWS: an open source PAWS and UHF TV white space database implementation for India. In: 2015 Twenty First National Conference on Communications (NCC) (2015)
TVWS Planning Tool. https://www.cse.iitb.ac.in/~tvws/tvws_tool/Thane/client.html
World Bank: Internet Users Data. http://data.worldbank.org/indicator/IT.NET.USER.P2?locations=IN
Ying, X., Zhang, J., Yan, L., Zhang, G., Chen, M., Chandra, R.: Exploring indoor white spaces in metropolises. In: Proceedings of the 19th Annual International Conference on Mobile Computing & Networking (2013)
Acknowledgments
We acknowledge the contributions of Prof. Nishanth Sastry and Aravindh Raman from King’s College London in various phases of this work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Iyer, M., Vutukuru, M. (2018). RETRACTED CHAPTER: A Planning Tool for TV White Space Deployments. In: Marques, P., Radwan, A., Mumtaz, S., Noguet, D., Rodriguez, J., Gundlach, M. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 228. Springer, Cham. https://doi.org/10.1007/978-3-319-76207-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-76207-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76206-7
Online ISBN: 978-3-319-76207-4
eBook Packages: Computer ScienceComputer Science (R0)