# A Novel Method to Determine the Optimal Location for a Cellular Tower by Using LiDAR Data
## 6 Future Scope  
The developed model offers a unique opportunity to predict the signal strength at a place three-dimensionally and accurately. Further, it can optimally design the number and location(s) for setting up the new cellular tower(s) to offer improved quality of signal strength. The research automatically foresees the opportunity to make two web APPs, one for the users and another for the cellular service providers. Users can choose the best cellular service provider for a place (in terms of signal quality), and the service provider can use it to determine where to set up their cellular tower, how high it should be, how many towers are required to be placed, and what will be the quality of signal strength at a particular user location. The following supporting information can be downloaded at: [[https://www.mdpi.com/article/10.3390/asi5020030/s1](https://www.mdpi.com/article/10.3390/asi5020030/s1)]([https://www.mdpi.com/article/10.3390/asi5020030/s1](https://www.mdpi.com/article/10.3390/asi5020030/s1)), Figure S1: **(a)** Generated LIDAR data for the RGIPT campus area, **(b)** Digital Elevation Model for the RGIPT area; Figure S2: The small area of the RGIPT campus for cell phone tower height determination; Figure S3: **(a)** Signal strength map when Z is at 0 m (**b**) Signal strength map when Z is at 5 m height; Figure S4: **(a)** Signal strength map when Z is at 15 m (**b**) Signal strength map when Z is at 25 m height; Figure S5: **(a)** Signal strength map when Z is at 30 m (**b**) Signal strength map when Z is at 35 m height; Figure S6: **(a)** MATLAB plot for the project Area of RGIPT, **(b)** Building edges and corner estimation on the RGIPT campus; Figure S7: **(a)** Rectangle ABCD into several blocks of 5 m \(\times\) 5 m dimensions, **(b)** Random generation of points in each block; Figure S8: Centroid is taken initially for processing; Figure S9: Different shapes taken for choosing the dimension of buffer near the centroid region; Figure S10: Signal strength for the L-shape to choose the best location with a chosen buffer region; Figure S11: (**a**) Another L-shaped case is taken to approximate the dimension of buffer, (**b**) U-shaped case for buffer dimension approximation; Figure S12: Signal strength map for one proposed cell phone tower on campus; Figure S13: (**a**) Signal strength 3D map for the RGIPT campus from Jio tower placed outside campus, (**b**) Signal strength 3D map for the RGIPT campus from one proposed Jio tower inside campus; Figure S14: Combinations of angle area division into three equal parts; Figure S15: (**a**) Three equal areas (Area 1, Area 2, and Area 3) of the chosen combination of angle division, (**b**) Area 1 of RGIPT is inscribed in a rectangle; Figure S16: Buffer region selection for correction of the centroid of Area 1; Figure S17: Signal strength map for Areas 2 and 3; Figure S18: (**a**) Signal strength map for three proposed cell phone towers on campus, (**b**) Signal strength map for two proposed cell phone towers on campus; Figure S19: (**a**) Shahganj area of Agra city (Urban area) chosen for the determination of the best location of cell phone tower, (**b**) Shahganj area LIDAR generated data, (**c**) Digital Elevation Model for the Shahganj area of Agra city; Figure S20: (**a**) Previously installed cell phone tower location. (**b**) Signal strength due to the five cell phone towers; Figure S21: (**a**) Five proposed cell phone tower locations. (**b**) Signal strength due to these five proposed cell phone towers; Figure S22: (**a**) Four proposed cell phone tower locations.