<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Department of Electrical and Electronics Engineering

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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...

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

Data publikacji: 14 maj 2022

Zakres stron: 132 - 139

Otrzymano: 19 sty 2022

DOI: https://doi.org/10.2478/jee-2022-0017

Słowa kluczowe
energy efficiency, spectral efficiency, massive MIMO, multi-objective bat algorithm

© 2022 Burak Kürşat Gül et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Data publikacji: 14 maj 2022

Zakres stron: 132 - 139

Otrzymano: 19 sty 2022

DOI: https://doi.org/10.2478/jee-2022-0017

Słowa kluczoweenergy efficiency, spectral efficiency, massive MIMO, multi-objective bat algorithm

© 2022 Burak Kürşat Gül et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
energy efficiency, spectral efficiency, massive MIMO, multi-objective bat algorithm