DocumentCode
2881576
Title
A Mathematical Optimization Approach for Radio Network Planning of GSM/UMTS Co-Siting
Author
Al-Kanj, Lina ; Dawy, Zaher ; Turkiyyah, George
Author_Institution
Dept. of Electr. & Comput. Eng., American Univ. of Beirut, Beirut, Lebanon
fYear
2009
fDate
14-18 June 2009
Firstpage
1
Lastpage
5
Abstract
3G UMTS networks are being widely deployed by several cellular operators worldwide that already have existing GSM networks. In this paper, we model the problem of GSM/UMTS co-siting as a nested mixed integer optimization problem which takes as input an area of interest with existing GSM sites and obtains as output the optimal number and locations of UMTS sites to be deployed (new and co-sited with GSM sites) in order to optimize target objectives. The goal is to minimize the cost of UMTS network deployment by reusing as many existing GSM sites as possible while guaranteeing that every cell is covering a target capacity load which is a percentage of the downlink pole capacity. We propose an algorithm taking into account both integer and continuous variables to solve the formulated optimization problem as a function of the user distribution and the existing fixed GSM site locations. Results for different scenarios show that it is optimal to reuse a subset of the existing GSM sites in addition to deploying new UMTS sites.
Keywords
3G mobile communication; cellular radio; optimisation; telecommunication network planning; 3G UMTS networks; GSM/UMTS co-siting; downlink pole capacity; integer optimization problem; mathematical optimization; radio network planning; user distribution; 3G mobile communication; Capacity planning; Cellular networks; Cost function; Downlink; GSM; Ground penetrating radar; Interference; Radio network; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location
Dresden
ISSN
1938-1883
Print_ISBN
978-1-4244-3435-0
Electronic_ISBN
1938-1883
Type
conf
DOI
10.1109/ICC.2009.5198627
Filename
5198627
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