Description
Over the recent years, few books have been published covering all the subjects needed to understand the very fundamental concepts of cell planning. Most books which deal with this topic are destined to very specific audiences, and the vast majority introduce the subject at a very basic, or technical, level, or are destined to an academic audience.
Cellular Network Planning begins with an introduction to the subject, covering conventional and contemporary wireless systems. Spectral allocation and the frequency plan are discussed, along with the essential characteristics of wireless systems. The design of mobile cellular systems includes cell planning, traffic and channel problems.
The book presents a review of existing models, considering both green field dimensioning and network expansion strategies, and discusses multi-objective optimization and base station deployment based on artificial immune systems. It also discusses a cost-effective base station deployment approach based on artificial immune systems, and introduces the modified MO-AIS algorithm.
Technical topics discussed in the book include:
Mobile Cellular Network Basics
Evolution of Mobile Cellular System
The Mobile Communications Channel
Propagation Models
Cell Planning
Green Field Dimensioning
Network Expansion
Cost-effective Planning Strategies
Chapter
1.7 Characteristic Functions of a Cellular Network
1.7.3 Configuration of the Mobile Cellular System
1.7.4 Data Communication from the MSC to the BS
1.9 Second Generation Systems
1.9.1 The European GSM Standard
1.9.2 Second Generation American Standards
1.9.2.2 The CDMA standard
1.9.2.4 The Japanese standard
1.10 Third Generation Systems
1.11 Fourth Generation Systems
1.11.1 The Long-term Evolution
Chapter 2 - Cellular Communications Models
2.3 Effects on the Transmitted Signal
2.4 The Mobile Communication Channel
2.5.1 Statistical Modeling of the Mobile Channel
2.5.2 The Two-Ray Model of the Mobile Channel
2.5.3 Two-Ray Model with Frequency Selectivity
2.5.4 Effect of Multiple Rays
2.5.5 Time-Varying Channels
2.6 Urban Area Propagation Models
2.6.1 Propagation in Mobile Systems
2.7.1 Near Field Propagation Model
2.7.2 Equation for the Near Field
2.7.2.1 Propagation plots
2.7.3 Far Field Propagation Model
2.7.4 Path Propagation Loss
2.7.5 Free Space Propagation Loss
2.7.6 Propagation Loss Along the Terrestrial Surface
2.7.7 Propagation OverWater
2.7.7.2 Fixed and mobile stations
2.8 Standard Predicting Models
2.8.3.1 Loss prediction plot
2.8.3.2 Area prediction model
2.8.5 COST231–Walfish-Ikegami Model
2.8.6 Analytic Prediction Model for Urban and Suburban Environments
2.8.6.1 Simplified model for near field
2.8.6.2 Simplified model: Antenna above the obstacle
2.8.6.3 Simplified model: Antenna below the obstacle
Chapter 3 - Cell Planning
3.3 Introduction to Cell Planning
3.4 Cell-Planning Methodology
3.4.1.2 Population density
3.4.1.5 Quality of service
3.4.1.7 Spectral allocation
3.4.2 Planning Methodology
3.4.3.1 Propagation models
3.4.3.2 System in equilibrium
3.4.3.3 Determining the geographical area
3.4.3.4 Green field cell planning
3.4.3.5 Areas covered by the site
3.4.4.1 Planning for the future
3.4.4.2 Transition from omnidirectional to sectorized
3.4.4.3 Interference and coverage analysis
3.5 Expansion of the Cellular System
3.5.1 Coverage Area and Traffic
3.5.1.2 Traffic channel allocation
3.5.1.3 Computation of traffic capacity
3.5.2 Spectral Efficiency
3.5.3 Processing Capacity
3.5.3.1 Cellular system partitioning
3.6 Model to Estimate Costs
3.6.1 Problem Characterization
3.6.2 Design and Network Planning
3.6.3 Green Field Dimensioning
3.6.4 Optimum Allocation and Cell Dimensioning
3.6.4.1 Mathematical modeling of the economic optimization
3.6.4.2 SA to solve the EOM model
3.6.5 Planning the Cellular Architecture
3.6.6 Detailed Planning for the Final Cost Estimation
Chapter 4 - Base Station Deploymentbased on Artificial Immune Systems
4.2 Multi-Objective Optimization
4.2.1 The Multi-Objective Optimization Algorithms based on Artificial Immune Systems
Chapter 5 - Cost-Effective Base Station Deployment Approach based on Artificial Immune Systems
Chapter 6 - Cell Planning Using Voronoi Diagrams
6.2.1 Types of Voronoi Diagrams
6.3 The Order-k Voronoi Diagram
6.3.1 The Ordered Order-k Voronoi Diagram
6.3.2 Order-k Voronoi Diagrams Properties
6.4 The Ordered Order-k MWVDs
6.5 The Path-Loss Prediction
6.6 The Mobile Cellular Network as a Voronoi Diagram
6.7 Coverage – An Example
6.8 Spatial Analysis of the Coverage