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Optimal cooperative virtual multi-input and multi-output network communication by double improved ant colony system and genetic algorithm

  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper we research on the problem of cooperative virtual multi-input and multi-output (MIMO) network communication distance under the assumption of nodes placed along an appointed direction. The objective here is to choose the parameters value to solve this model based on the double improved ant colony system (DIACS) and genetic algorithm (GA) to optimize the set of relays to satisfy the outage probability constraint. We use experimental analyses to carry out the reasonable selection value of all the parameters in the algorithm. The simulation experiments compared during DIACS with Ant Colony System (ACS) and particle swarm optimization (PSO) algorithms, the simulation results proves DIACS is effective, and has an advantage of high accuracy and time saving especially when optimize the parameters' value, and the results are better than the other two algorithms.

Original languageEnglish
Pages (from-to)89-96
Number of pages8
JournalIAENG International Journal of Computer Science
Volume45
Issue number1
StatePublished - 1 Feb 2018

Keywords

  • Cooperative communication
  • Double improve ant colony system (DIACS)
  • Genetic algorithm (GA)
  • Parameters' value optimization
  • Virtual multi-input and multi-output (MIMO) network

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