Spectral and energy efficiency trade-off in massive MIMO systems using multi-objective bat algorithm

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GÜL B. K., Taşplnar N.

Journal of Electrical Engineering, vol.73, no.2, pp.132-139, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 73 Issue: 2
  • Publication Date: 2022
  • Doi Number: 10.2478/jee-2022-0017
  • Journal Name: Journal of Electrical Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Communication Abstracts, INSPEC, PAIS International, zbMATH
  • Page Numbers: pp.132-139
  • Keywords: energy efficiency, spectral efficiency, massive MIMO, multi-objective bat algorithm
  • Kayseri University Affiliated: No


© 2022 Burak Kürşat Gül et al., published by Sciendo.The rise in the usage of wireless communication increases the cellular communication by the same rate. With the continuation of this situation, the density in data traffic has the potential to cause problems in the near future. Coping with spectral efficiency-energy efficiency trade-off using massive MIMO systems is considered to be a reasonable solution to this problem. In this paper, cellular communication simulations were performed in cases with different number of users, number of antennas and transmission power of massive MIMO systems and then non-dominated solutions are determined. Multi-objective bat algorithm has been used to make this process much shorter. At last stage, performance of this algorithm is compared with various intelligent optimization algorithms and with ideal non-dominated solutions. When the algorithms are compared with each other, it is seen that multi-objective bat algorithm has the best performance among them.