Applications of Geographic Information Systems for Wireless Network Planning

✍ Scribed by Francisco Saez de Adana, Juan Casado Ballesteros, Abdelhamid Tayebi Tayebi

• Publisher: Artech House
• Year: 2020
• Tongue: English
• Leaves: 153
• Series: Antennas
• Category: Library

✦ Synopsis

This practical book shows the procedure to integrate, in a practical way, empirical propagation methods with geographical information systems (GIS) to obtain the radio coverage in open environments. It includes the theoretical explanation of empirical methods and GIS but as a basis to develop a real tool that combines both aspects to provide the user a suitable method for the wireless network planning in urban areas. The book introduces the empirical propagation methods and their application to wireless network planning. The motivation for combining them with the information obtained from geographical information systems is illustrated as well as their application to real situations. The most important empirical methods used to calculate the propagation in open environments are reviewed. Focus is given to the geometrical information needed to prove the necessity of obtaining some geographical information if these methods must be applied to realistic network planning. A review of the most important GIS is also described. The advantages and disadvantages of every system is analyzed from the point of view of its integration with an empirical propagation method. An application that combines a geographical information system with an empirical propagation method is fully described. The practical features of this integration are completely studied to allow an engineer to use and develop his own tool. Examples are given in each chapter to fully describe and illustrate the process.

✦ Table of Contents

Applications of Geographic
Information Systems for
Wireless Network Planning
Contents
Preface
1
Introduction
1.1 Introduction to Empirical Propagatio
1.2 Introduction to Geographical Informa
1.3 Advantages of Combining Empirical Pr
1.4 Structure of the Book
References
2
Empirical Propagation Methods
2.1 Fundamentals of the Empirical Propag
2.2 Okumura-Hata Model
2.3 Cost 231-Hata Model
2.4 Ibrahim-Parsons Model
2.5 McGeehan and Griffiths Model
2.6 Atefi and Parsons Model
2.7 Sakagami-Kuboi Model
2.8 Ikegami Model
2.9 Walfisch and Bertoni Model
2.10 Xia and Bertoni Model
2.11 Cost 231-Walfisch-Ikegami Model
2.12 Stanford University Interim Model
2.13 Ericsson Model
2.14 Eibert and Kuhlman Model
2.15 Analysis of the Required Geometric
References
3
Geographical Information Systems
3.1 GIS Definition
3.2 GIS Architecture and Components
3.2.1 Spatial Databases
3.2.2 Edition and Visualization Tools
3.2.3 Map Servers
3.2.4 High-Level APIs
3.2.5 Data Providers
3.2.6 User Code
3.2.7 Full-Stack Frameworks
3.3 Spatial Data Manifestations
3.3.1 Raster Data
3.3.2 Vector Data
3.3.3 Map Types
3.3.4 Layers
3.3.5 Coordinate Systems
3.4 Which GIS Components to Use?
3.5 How Will Each Type of Data be Useful
3.5.1 Maps
3.5.2 Terrain Height
3.5.3 Roads
3.5.4 3D Building Shapes
3.5.5 Environment Type
3.5.6 Geocoding
3.5.7 Social Data
3.6 GIS Comparison
3.6.1 Spatial Databases
3.6.2 Edition and Visualization Tools
3.6.3 Map Servers
3.6.4 High Level APIs
3.6.5 Data Providers
3.6.6 GIS Offered as Full-Stack Framewor
References
4
Description of the Application
4.1 Combination of a GIS and a Semiempir
4.1.1 OpenStreetMap
4.1.2 Propagation Model
4.2 Technologies Used
4.3 Main Features of the Application
4.4 How to Develop the Application
4.5 Future Improvements of the Applicati
References
5
Applications
5.1 Electromagnetic Spectrum
5.2 Types of Cells in Cellular Networks
5.3 Main Applications
5.3.1 Planning and Optimization of Radio
5.3.2 Broadcasting
5.4 Secondary Applications
5.4.1 Precision Agriculture Applications
5.4.2 Educational, Research, and Trainin
5.4.3 Applications for Emergency Service
5.4.4 Humanitarian Use, Military Defense
5.4.5 Terrain Exploration
5.4.6 Other Applications
5.5 Computer Software Applications
References
About the Authors
Index