Terrain Aware Cellular Network Blind Spot Recovery Algorithm Using AeriaBTS

Abstract

The efficiency of cellular communication systems is hampered by cyclones. Network operator authenticated network blind spots, generated after cellular BTS destruction, were successfully recovered using AerialBTS systems by selecting Nisarga cyclone as a representative natural calamity in this case using the stated algorithm in this paper. The geographical location and parameter reconfiguration of AerialBTS have been precisely described to provide maximum coverage of the cellular network. Using the corresponding algorithm, network deployment successfully expanded network coverage by 22.31% with the Digital Elevation Model.

Keywords:

• DEM
• ISRO
• LISS III
• LRI
• LSI
• NDVI
• OSM
• SI
• VI

Acknowledgments

I would like to express my sincere gratitude towards Dr. S.S.Mande and Dr. Imdad Rizvi, for the help, leadership, and praise, provided during the entire work. This work would have not been possible without their prized time, patience and motivation. I thank them for making my stint scrupulously pleasant and enriching. I take the express to definite my sincere thanks to my family, friends, and well-wishers for providing the support and help throughout my work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Vipinkumar R. Pawar

Vipinkumar R Pawar is research scholar in the Department of Electronics and Telecommunication Engineering, Terna Engineering College, Mumbai University. He is a member of researcher group of Institute of Investigation in Remote Sensing and GIS (IIRSG), Netherland in the Disaster Risk Reduction Team. Having more than 9 years of experience in Remote Sensing and GIS. He has been a member of IEEE Geoscience and Remote Sensing group since 2012. He is engaged in more than 18 research projects in Remote Sensing and GIS in association with Government agencies. Corresponding author. Email: [email protected]

Sudhakar Mande

Sudhakar S Mande is currently working as professor and IQAC director at Don Bosco Institute of Technology, Mumbai. He obtained his MTech and PhD degrees from IIT Bombay in 2000 and 2011, respectively. His research areas include nanoscale device and circuit design, embedded system design, low power VLSI design and VLSI signal processing. He has published several research papers in peer-reviewed international journals and in international conferences. He has more than 20 years of experience during which he held various key positions like head of Department, chairman of BOS for Electronics Engineering in University of Mumbai. He was also chairman of IETE Navi Mumbai chapter. Email: [email protected]

Imdad Rizvi

Imdad A Rizvi received the BEng and MEng degrees in electronics engineering from the University of Mumbai, Mumbai, India, in 2000 and 2004, respectively and PhD from the Indian Institute of Technology (IIT) Bombay, Mumbai, India, in 2012. He is currently visiting professor in Electrical Engineering Division, Higher Colleges of Technology, Sharjah Campus, UAE. His areas of research are supervised image, classification, object-based image analysis, and multi-resolution algorithms. Dr Imdad is also associated with Terna Engineering College, University of Mumbai, India, since 2012. Email: [email protected]