Selection model based on multi-objective evolutionary algorithm for coordinated multi point schemes
| Autor: | Carlos Lozano-Garzon, Pere Vilà, Yezid Donoso |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Optimization problem Computer science Quality of service Distributed computing Evolutionary algorithm 020302 automobile design & engineering 020206 networking & telecommunications 02 engineering and technology Decision problem Evolutionary computation Base station 0203 mechanical engineering Scalability 0202 electrical engineering electronic engineering information engineering Quality of experience |
| Zdroj: | APCC |
| Popis: | The capacity, coverage and interference problems in the infrastructure deployed by mobile operators are increasing due to exponential growth of subscribers and traffic requirements of the new services. In order to solve these problems, 3GPP proposed the Coordinated Multi Point (CoMP) which is a set of cooperative communication techniques between base stations. In this paper we address the decision problem as a multi-objective optimization problem with the aim of improving the user's quality of experience and the load of all base stations involved. We propose an optimization model as well as an evolutionary algorithm based on the SPEA2 Algorithm, to select the best cooperation technique over the download channel. Through simulation over experimental scenarios, we demonstrate that our proposal provides optimal solutions, while being efficient and scalable. |
| Databáze: | OpenAIRE |
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