Abstract

This paper presents a demandbased engineering method for designing
radio networks of cellular mobile communication systems
The proposed procedure is based on a forwardengineering method the Integrated Approach to cellular network planning and is facilitated by the application of a new discrete population model for the trac description the Demand Node Concept
The use of the concept enables the formulation of the transmitter locating task as a Maximal Coverage Location Problem MCLP which iswell known in economics for modeling and solving facility
location problems
For the network optimization task we introduced the Set Cover Base Station Positioning Algorithm SCBPA which is based on a greedy heuristic for solving the MCLP problem
Furthermore we present the planning tool prototype
ICEPT Integrated Cellular network Planning Tool  which is based on these ideas and show arst result from a real world planning case

Keywords
Demandbased Cellular Network Design Facility Location Problem
Network Design Objectives Trac Characterization

Introduction
The planning of future cellular mobile radio networks faces three new major challenges rst due to the tremendous increase in the number of users the network operators have to redesign and optimize their secondgeneration systems in order to be able to handle the higher trac
Second the new technologies of the third generation networks require demand based planning methods e
g
the coverage area of a CDMA transmitter depends on both the radio wave propagation and the user density cf
Veeravalli et al

And third the telecommunication regulators are forcing new network operators to set up their cellular system in a very short time
Therefore these companies require a fast planning methodology which can be implemented in an automatic planning tool that generates synthetic network congurations

The core task of cellular system design is to set up an optimal radio network cf
Figure  which provides the best feasible coverage of the investigated planning region
During the design process this aim is achieved by an optimal selection of base station transport network node planning region base station cells transport network radio network
Figure
 Abstract cellular mobile communication network model
sites and the perfect determination of the basic RF parameters like the maximal
base station transmitting power the antenna height or the number and the ori
entation of the sectors
In the past the major design criteria of cellular networks
was the area coverage
The engineering process was mainly focused on providing
the best possible radio signal at every location of the planning region
However
due to the transition of mobile radio into a masscommunication system where the
cost of providing service is an important issue and due to the increased competition
among network operators both capacity and economic design aspects have gained
importance
Therefore an ecient design of mobile radio systems requires that the
demand coverage has to be considered as an additional and equal engineering constraint


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