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Establishing Relationships of Cellular Communication Coverage Provided by Governmental and Non-governmental Companies as a Function of Digital Elevation, Population Density, and Transport Infrastructure in Jodhpur District, Rajasthan

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Livelihood Enhancement Through Agriculture, Tourism and Health

Abstract

With recent unplanned development and steep human population density increase in Jodhpur District during 2010–2019, spectral congestion can be an impending problem. The article emphasis lies in the analysis of coverage calculated based on Okamura–Hata model with respect to several distinct parameters. Jodhpur city, lying on the Vindhyan porous plateau (with high water management potential), has the highest density of mobile towers in the district. Mobile towers installed by government communication companies are mostly across the rustic champaign. These are distributed with relatively uniform density. Most of the district is characterized by negative normalized difference vegetation indices and low slopes confirming desert (Thar Desert) climate. Therefore, population density, railway routes, road infrastructures and townships are major parameters, which define cellular tower installations. Governmental company-based tower installations account for less than 20% of the non-governmental cellular tower installations. Coverage of the governmental towers is much higher than those of non-government cellular tower installations in terms of land surface area. WebApp Builder in ArcGIS is utilized to present this scenario which hereat provides an opportunity to perform design, development and planning of future cellular tower installations.

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References

  • Agarwal A, Narain S (2008) Dying wisdom: rise, fall and potential of India’s traditional water harvesting systems. New Delhi

    Google Scholar 

  • Amuti T, Luo G (2014) Analysis of land cover change and its driving forces. Solid earth-solid earth discuss 6:1907–1947

    Google Scholar 

  • Anderson JR, Hardy EE, Roach JT, Witmer RE (1983) A land use and land cover classification system for use with remote sensor data. Washington

    Google Scholar 

  • ArcUser (2001) GIS use in telecommunications growing, October

    Google Scholar 

  • Bădescu G, Ovidiu S, Nicolae AB, HreniucNP, Iulius EK, Radulescu ATBR (2009) The efficient use of the GIS technology in creating strategies for regional development and environment protection. In: 2nd International conference on environmental and geological science and engineering. WSEAS.

    Google Scholar 

  • Benham C (2012) A GIS based decision and suitability model: solving the tower location problem in support of electric power smart grid initiatives. Northwest Missouri State University

    Google Scholar 

  • Cells R (2018) Radio Cells. https://radiocells.org/downloads/raw_data. Accessed 20 Aug 2012

  • Chaurasia VK (2006) Planning optimum location for wireless tower in GIS environment. IIT Rourkee

    Google Scholar 

  • COI (2011) District census handbook, Jodhpur, Census of India (COI) 2011, Rajasthan, Series-09

    Google Scholar 

  • Dickenson R (1995) Land processes in climate models. Remote Sens Environ 51:27–38

    Article  Google Scholar 

  • Eiden G (2018) Land-Cover and Land-Use mapping in land use, land cover and soil sciences. Encycl. Life Support Syst.

    Google Scholar 

  • Flagship 6G (2019) 6G Flagship, Key drivers and research challenges for ubiquitous wireless intelligence. In: 6G research visions series. First 6G Wireless Summit, University of Oulu

    Google Scholar 

  • Graser A, Peterson GN (2016) QGIS Map design. Locate Press

    Google Scholar 

  • Haan CT (1977) Statistical methods in hydrology, 3rd edn. Iowa State University Press, Ames, Iowa

    Google Scholar 

  • Hamdy MN (2018) Small cells big challenges a practical solutions guide. CommScope, Inc., WP-112815-EN (07/18)

    Google Scholar 

  • Hill J (1994) Spectral properties of soils and the use of optical remote sensing systems for soil erosion mapping. Chemistry of aquatic systems: local and Global perspectives. Springer, Netherlands, Dordrecht, pp 497–526

    Chapter  Google Scholar 

  • ITU (2002) ITU publications: terrestrial land mobile radio wave propagation in the VHF/UHF bands. Radio communication Bureau, Geneva

    Google Scholar 

  • Jensen JR (2007) Remote Sensing of the Environment: An Earth Resource Perspective, 2nd edn. Pearson

    Google Scholar 

  • Kalra N, Joshi D (1994) Spectral reflectance characteristics of salt-affected arid soils of Rajasthan. J Indian Soc Remote Sens 22:183–193

    Article  Google Scholar 

  • King SC (2013) Fiber management solutions for the cell tower. Commun. Markets Div.

    Google Scholar 

  • Lambin EF, Geist HJ (2001) Global LU/land-cover changes—What have we learned so far? IGBP Glob Chang Newslet 46:27–30

    Google Scholar 

  • Leblon B, Gallant L, Granberg H (1996) Effects of shadowing types on ground-measured visible and near-infrared shadow reflectances. Remote Sens Environ 58:322–328

    Article  Google Scholar 

  • Mathur SM (2013) Physical geology of India, First. National book trust, India, New Delhi

    Google Scholar 

  • McGregor P (2016) A spatial analysis of cellular tower placement along cities and highways to determine optimal tower placement criteria using geographic information science (GIS). Saint Mary’s University of Minnesota University Central Services Press, Winona, MN. Pap Resour Anal 19:10

    Google Scholar 

  • Mohamed I (2018) Path-loss estimation for wireless cellular networks using Okumura/Hata model. Sci J Circuits, Syst Signal Process 7:20

    Google Scholar 

  • Molisch A (2011) Wireless Communications, 2nd edn. John Wiley & Sons Ltd, West Sussex

    Google Scholar 

  • Pahlavan P, Krishnamurthy K (2013) Principles of wireless access and localization. Wiley, First

    Google Scholar 

  • Popoola SI, Oseni OF (2014) Empirical path loss models for GSM network deployment in Makurdi, Nigeria. Int Ref J Eng Sci 3:85–94

    Google Scholar 

  • Reis S (2008) Analyzing land use/land cover changes using remote sensing and GIS in Rize, North-East Turkey. Sensors 8:6188–6202

    Article  Google Scholar 

  • Rouse JW, Haas RH, Schell JA (1974) Monitoring vegetations in the great plains with ERTS. In: Third Earth resource technology, Satellite 1 Sym-posium, Greenbelt, NASA. SP-351, pp 3010–3017

    Google Scholar 

  • Salunkhe Y, Bera S, Rao A, Venkataraman S, Raj V, Murthy U (2018) Evaluation of indicators for desertification risk assessment in part of Thar desert region of Rajasthan using geospatial techniques. Earth Syst Sci 127:1–24

    Article  Google Scholar 

  • Shalaby A, Tateishi R (2007) Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Appl Geogr 27:28–41

    Article  Google Scholar 

  • Shramek J (2019) Do it yourself Geo Apps. In: Training. https://www.esri.com/training/. Accessed 30 Oct 2019

  • Solomon TG, Dominic B, Konditi OC (2018) A novel radio wave propagation modeling method using system identification technique over wireless links in East Africa. Int J Antennas Propag doi:https://doi.org/10.1155/2018/2162570

  • Vodacek A (2018) 1051-553 Special topics: Environmental applications of remote sensing

    Google Scholar 

  • Zhu J-K (2001) Plant salt tolerance. Trends Plant Sci 6:66–71

    Article  Google Scholar 

Download references

Acknowledgements

I would like to thank Mr. P.S. Prasood and other staffs of Center for Environment and Development, Trivandrum for encouraging throughout. I would like to thank the BSNL Jodhpur, Rajasthan for providing the information about its infrastructure and technical information of their installations.

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Puthukkulam, A., Gaur, S., Vinod, T.R., Plappally, A. (2022). Establishing Relationships of Cellular Communication Coverage Provided by Governmental and Non-governmental Companies as a Function of Digital Elevation, Population Density, and Transport Infrastructure in Jodhpur District, Rajasthan. In: Jana, N.C., Singh, A., Singh, R.B. (eds) Livelihood Enhancement Through Agriculture, Tourism and Health. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-7310-8_26

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