Mobility Improvement by Optimizing Channel Model Coverage Through Fine Tuning


  • Akansha Gupta Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India
  • Kamal Ghanshala Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India
  • R. C. Joshi Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India



Tuning, mobility, VHF, pathloss models, RMSE, LTE


Empirical channel models were always an important tool for proper wireless network planning. These models consider the properties of electromagnetic waves and terrain conditions. The efficiency and accuracy of these Empirical models suffer when they are used for an area other than where they have been designed. So tuning of these models is required for proper and accurate prediction of coverage and it is done by taking the correction factor into account. Comparison of four Empirical models i.e, the Lee, the ECC-33 model, the WI model, the Ericsson model, the COST 231, and SUI is done with Measured path loss, and the best model with minimum error is then selected for tuning. Field data of LTE network at 2300 MHz is collected at two sites of Uttarakhand-India. It is analysed that the Ericsson model shows minimum RMSE, Standard Deviation, and Mean error as compared to measured path loss, followed by the Okumura model. The Ericsson model is then tuned to further reduce the error. Validation of the tuned model is done at Haridwar.


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Author Biographies

Akansha Gupta, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India

Akansha Gupta received her B.Tech. degree in Electronics and Instrumentation Engineering from the UP Technical University, India, in 2005, and her M.Tech. degree in Computer Science Engineering from Uttarakhand Technical University India, in 2009. She is currently pursuing her Ph.D. degree in Computer Science engineering in developing future AI channel models for next generation 5G mobile cellular networks. Her research interests include Machine learning, wireless communication, IoT, 5G network, random matrix theory, and information theory.

Kamal Ghanshala, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India

Kamal Ghanshala is an engineer, entrepreneur and a philanthropist with Bachelor’s and Master’s in Computer Science and Engineering. He has received his doctoral degree in Computer Science from Kumaon University, Nainital-India.He has received recognition for his research in conferences held at, Croatia, Denmark, Johannesburg, Turkey, London, Paris Germany and Thailand. He received the Visionary Edupreneur of India award 2017 from former president of India and handled many research projects. He has also received excellence award in the field of higher education in the international summit organized in New York, USA. He has founded two universities as a President at Uttarakhand-India, Graphic Era Deemed to be University and Graphic Era Hill University. His research interests center around the optimization in wireless multimedia networks, stochastic optimization method, and graphical approach for information processing.

R. C. Joshi, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India

R. C. Joshi former Prof. E. & C.E. Department at IIT Roorkee and Chancellor at Graphic Era Deemed to be University Dehradun, received his B.E degree from NIT Allahabad in1967, M.E.1st Div. with Honors and Ph.D Degree from Roorkee University, now IIT Roorkee, in 1970 & 1980 respectively. He worked as a Lecturer in J.K Institute, Allahabad University during 1967-68. He had been Head of Electronics & Computer Engineering from Jan 1991-1994 & Jan. 1997 to Dec. 1999. He was also the Head of Institute Computer Centre, IIT Roorkee from March 1994 to Dec. 2005.He was on short visiting Professor’s Assignment in University of Cincinnati, USA. University of Minnesota, U.S.A & Macquarie University Sydney Australia also visited France under Indo-France collaboration program during June 78 to Nov. 79. Dr. Joshi has guided 27 Ph.D, 250 M.Tech, Dissertation, 75 B.E Projects. He had taught more than 25 subjects in Computer Engineering, Electronics Engineering & Information Technology.


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How to Cite

Gupta A, Ghanshala K, Joshi RC. Mobility Improvement by Optimizing Channel Model Coverage Through Fine Tuning. JCSANDM [Internet]. 2021 May 27 [cited 2023 Apr. 1];10(3):593–616. Available from:



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