Application of Multi-objective Artificial Bee Colony Algorithm to Spectral and Energy Efficiencies Trade-off in Massive MIMO Systems


GÜL B. K., TAŞPINAR N.

14th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2022, Ploiesti, Romania, 30 June - 01 July 2022 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ecai54874.2022.9847415
  • City: Ploiesti
  • Country: Romania
  • Keywords: energy efficiency, intelligent optimization, massive MIMO, spectral efficiency
  • Kayseri University Affiliated: No

Abstract

© 2022 IEEE.The efficient use of spectrum and energy in cellular communication systems has become extremely important. However, it is not easy to increase spectral efficiency and energy efficiency together, as they are in conflict with each other. In this paper, spectral and energy efficiencies trade-off optimizations have been carried out in the sample of massive multi-input multi-output system, which is known to be successful in spectral efficiency and energy efficiency issues. The multi-objective version of the artificial bee colony algorithm has been applied to the problem, and the results have been compared with the other intelligent optimization techniques, the multi-objective genetic algorithm, multi-objective differential evolution algorithm and multi-objective bat algorithm. The evaluations have shown that the multi-objective artificial bee colony algorithm is more successful than other algorithms compared.