Paper Information

Journal:   JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)   WINTER 2017 , Volume 5 , Number 4 #P0075; Page(s) 44 To 53.
 
Paper: 

OPTIMUM CELL PLANNING FOR CDMA SYSTEM BY USING GENETIC ALGORITHM

 
 
Author(s):  HASHEMI MAHDI, MOHAMMADI ELNAZ, AHADI AKHLAGHI IMAN*
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, SADJAD UNIVERSITY OF TECHNOLOGY, MASHHAD, IRAN
 
Abstract: 

Cell planning is a complex problem. In this project we take advantage of Genetic Algorithms to find the optimum location of a cellular network base station, and to optimally determine other parameters such as power, height and tilt of each base station antenna, as well.
The main goal is to maximize the network coverage and simultaneously to minimize the downlink interference in the Azadshahr region of Mashhad. In order to study the performance of the proposed method in a realistic way, the Urban Signal Propagation Simulator computer software (USPS) is used. The results indicate that our method has a very good performance in real situations.

 
Keyword(s): WIRELESS COMMUNICATION, CELL PLANNING, BS.POSITIONING, GENETIC ALGORITHM, MULTI-OBJECT OPTIMIZATION, USPS
 
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