A New Approach to Pilot Contamination in Massive MIMO Systems for 5G Communication Networks with Butterfly Optimization Algorithm

Year 2022, Volume: 25 Issue: 4, 1753 - 1759, 16.12.2022

Salah Altiraiki , Necmi Serkan Tezel

https://doi.org/10.2339/politeknik.726354

Cited By: 2

Abstract

Communication technologies, in particular fifth-generation (5G) mobile phones, are currently developing around the world. Massive multi-input-multi-output (MIMO) systems are usually used in this type of communication network so that a large number of users are able to connect to the network and use its services. Massive MIMO systems are a good solution for 5G communication networks leveraging antennas to improve communication performance. To increase output communication power in 5G networks, the problem was optimized with the butterfly optimization algorithm (BOA). According to the simulation results, the proposed method outperformed other similar communication methods, such as the Random, SPRS, WGC PD and SPRS+WGC PD algorithms in terms of the signal-to-interference-plus-noise ratio (SINR) and rate of connection of users to the network.

Keywords

Fifth-generation communication network, massive multi-input-multi-output (MIMO) systems, butterfly optimization algorithm (BOA), pilot contamination

References

• [1] X. Lu, V. Petrov, D. Moltchanov, S. Andreev, T. Mahmoodi, and M. Dohler, “5G-U: Conceptualizing Integrated Utilization of Licensed and Unlicensed Spectrum for Future IoT”, IEEE Commun. Mag., (2019).
• [2] I. B. F. de Almeida, L. L. Mendes, J. J. P. C. Rodrigues, and M. A. A. da Cruz, “5G Waveforms for IoT Applications”, IEEE Commun. Surv. Tutorials, (2019).
• [3] S. Kaneriya, J. Vora, S. Tanwar, and S. Tyagi, “Standardising the use of Duplex Channels in 5G-WiFi Networking for Ambient Assisted Living”, IEEE International Conference on Communications Workshops (ICC Workshops), 1–6, (2019),
• [4] A. Kumari, S. Tanwar, S. Tyagi, N. Kumar, M. S. Obaidat, and J. J. P. C. Rodrigues, “Fog Computing for Smart Grid Systems in the 5G Environment: Challenges and Solutions”, IEEE Wirel. Commun., 26(3): 47–53, (2019).
• [5] S. Banik, I. S. Cardenas, and J. H. Kim, “IoT Platforms for 5G Network and Practical Considerations: A Survey”, arXiv Prepr. arXiv1907.03592, (2019).
• [6] R. Su et al., “Resource allocation for network slicing in 5G telecommunication networks: A survey of principles and models”, IEEE Netw., 33(6): 172-179, (2019).
• [7] R. Khan, P. Kumar, D. N. K. Jayakody, and M. Liyanage, “A survey on security and privacy of 5G technologies: Potential solutions, recent advancements and future directions”, IEEE Commun. Surv. Tutorials, (2019).
• [8] I. Ahmad, Z. Kaleem, R. Narmeen, L. D. Nguyen, and D.-B. Ha, “Quality-of-service aware game theory-based uplink power control for 5G heterogeneous networks”, Mob. Networks Appl., 24(2): 556–563, (2019).
• [9] N.-N. Dao, M. Park, J. Kim, J. Paek, and S. Cho, “Resource-aware relay selection for inter-cell interference avoidance in 5G heterogeneous network for Internet of Things systems”, Futur. Gener. Comput. Syst., 93: 877–887, (2019).
• [10] S. Arora and S. Singh, “Butterfly optimization algorithm: a novel approach for global optimization”, Soft Comput., 23(3): 715–734, (2019).
• [11] X. Zhu, L. Dai, Z. Wang, and X. Wang, “Weighted-graph-coloring-based pilot decontamination for multicell massive MIMO systems”, IEEE Trans. Veh. Technol., 66(3): 2829–2834, (2016).
• [12] W. Yuan, X. Yang, and R. Xu, “A Novel Pilot Decontamination Scheme for Uplink Massive MIMO Systems”, Procedia Comput. Sci., 131: 72–79, (2018).
• [13] A. H. Sodhro, S. Pirbhulal, A. K. Sangaiah, S. Lohano, G. H. Sodhro, and Z. Luo, “5G-based transmission power control mechanism in fog computing for Internet of Things devices”, Sustainability, 10(4): 1258, (2018).
• [14] X. Zhu et al., “Soft pilot reuse and multicell block diagonalization precoding for massive MIMO systems”, IEEE Trans. Veh. Technol., 65(5): 3285–3298, (2015).