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Frequency planning of GSM cellular communication network in urban areas including traffic distribution, a practical implementation

Atamanesh, M ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/APEMC.2008.4560019
  3. Publisher: 2008
  4. Abstract:
  5. Using an in-house developed software the signal level, the best server cells, and the amount of interference using standard propagation models are determined in a cellular environment. The program is also able to assign the frequency channels automatically to the TRXs taking into account the carrier to interference and the traffic distribution using a genetic algorithm. In this paper, the cost function is based on the total Carrier to Interference ratio (C/I) and the traffic density of the serving area. The software by means of a genetic algorithm approaches a frequency assignment which increases the overall quality of service throughout the cellular network. The package has been used in a real urban area and the results were compared with those of a standard software
  6. Keywords:
  7. Algorithms ; Boolean functions ; Cellular neural networks ; Cellular radio systems ; Cellular telephone systems ; Civil aviation ; Diesel engines ; Electric inverters ; Electromagnetic compatibility ; Electromagnetism ; Genetic algorithms ; Magnetic materials ; Regional planning ; Asia-Pacific ; Traffic distributions ; Urban areas ; Quality of service
  8. Source: 2008 Asia-Pacific Symposium on Electromagnetic Compatibility and 19th International Zurich Symposium on Electromagnetic Compatibility, APEMC 2008, Suntec, 19 May 2008 through 23 May 2008 ; 2008 , Pages 891-894 ; 9810806280 (ISBN); 9789810806286 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4560019