Application of Taboo Search and Genetic Algorithm in planning and optimization of UMTS radio networks | Zendy

Bahareh Jalili | Zendy; Mehrdad Dianati | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Application of Taboo Search and Genetic Algorithm in planning and optimization of UMTS radio networks

Author(s) -

Bahareh Jalili,

Mehrdad Dianati

Publication year - 2010

Publication title -

surrey open research repository (university of surrey)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/1815396.1815430

Subject(s) - umts frequency bands , taboo , computer science , transmitter power output , genetic algorithm , computer network , coding (social sciences) , heuristic , optimization problem , mathematical optimization , channel (broadcasting) , algorithm , mathematics , artificial intelligence , machine learning , political science , law , statistics , transmitter

Planning and optimization of 3G networks is more than just frequency allocation and coverage planning, due to the nature of WCDMA coding. It usually involves solution of an NP-Hard problem. In this paper we propose an effective method for optimizing the Common Pilot Channel (CPICH) transmit power, along with maximizing the number of served users and minimizing the number of cell sites and compare use of two meta-heuristic methods: Taboo Search (TS) and Genetic Algorithm (GA) in planning and optimization of UMTS radio networks

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research