f Millimeter Wave Massive MIMO systems using Hybrid Beamforming
FOREX Press I. J. of Electrical & Electronics Research
Support Open Access
  • Home/
  • IJEER-120329

Research Article |

Millimeter Wave Massive MIMO systems using Hybrid Beamforming

Author(s): Bhagyashri Warhade* and Rupali Patil

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 3

Publisher : FOREX Publication

Published : 20 August 2024

e-ISSN : 2347-470X

Page(s) : 957-962

DOI: https://doi.org/10.37391/IJEER.120329

Abstract

The goal of next-generation wireless systems is to support many users by achieving higher data rates and reduced latency. Multiple input and multiple output systems (MIMO) are utilized in order to achieve high data rates. Multiple antennas are employed by Massive MIMO systems in both the transmitter along with the receiver. A signal processing method known as beamforming is used on several transmitting and receiving stations in order to deliver and receive multiple messages at once. To increase spectral efficiency, hybrid beamforming using a uniform rectangular antenna array is used in this research work. The results of hybrid beamforming using different numbers of antennas are compared with those of fully digital beamforming. A comparison between signal-to-noise (SNR) and bit error rate (BER) is performed. Comparing hybrid beamforming to fully digital beamforming, simulation findings show that hybrid beamforming reduces computing complexity due to reduced number of RF links. Also observed that the spectral efficiency rises with an increase in the quantity of transmitting antennas.

Keywords: Spectral Efficiency, Hybrid Beamforming, Fully Digital Beamforming, Massive MIMO.




Bhagyashri Warhade*, Research Scholar, GH Raisoni College of Engineering and Management, Pune, India; Email: bhagyashri.warhade@gmail.com

Rupali Patil, GH Raisoni College of Engineering and Management, Pune, India; Email: rupali1210@gmail.com

    [1] Borges, D.; Montezuma, P.; Dinis, R.; Beko, M.,” Massive MIMO Techniques for 5G and Beyond— Opportunities and Challenges “, Electronics 2021, 10, 1667. https:// doi.org/10.3390/electronics10141667.
    [2] Hu, Q., Zhang, M.,Gao, R., “Key Technologies in Massive MIMO”, In Proceedings of the 4th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017), Coimbatore, India, 14–16 February 2018, Volume 17, pp. 1–10.
    [3] Ali, E., Ismail, M., Nordin, R. et al,” Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research.”, Frontiers Inf Technol Electronic Eng 18, 753–772 (2017). https://doi.org/10.1631/FITEE.1601817.
    [4] Karthik Kumar Vaigandla1, Dr .N. Venu,“Survey on Massive MIMO: Technology, Challenges, Opportunities and Benefits”, Volume 20 : Issue 11 (Nov) 2021.
    [5] Ahmed, I., Khammari, H., Shahid, A., Musa, A., Kim, K. S., De Poorter, E., & Moerman, I. (2018). A survey on hybrid beamforming techniques in 5G: Architecture and system model perspectives. IEEE Communications Surveys & Tutorials, 20(4), 3060–3097.
    [6] Molisch, A. F., Ratnam, V. V., Han, S., Li, Z., Nguyen, S. L. H., Li, L., & Haneda, K. (2017). Hybrid beamforming for massive MIMO: A survey. IEEE Communications Magazine, 55(9),134–141.
    [7] Shim S-J, Lee S, Lee W-S, Ro J-H, Baik J-I, Song H-K. Advanced Hybrid Beamforming Technique in MU-MIMO Systems. Applied Sciences. 2020; 10(17):5961. https://doi.org/10.3390/app10175961.
    [8] D. Zhu, B. Li, and P. Liang, “A Novel Hybrid Beamforming Algorithm with Unified Analog Beamforming by Subspace Construction Based on Partial CSI for Massive MIMO-OFDM Systems”, IEEE Transactions on Communications,2017, vol. 65, no. 2, pp. 594–607.
    [9] Rajdeep Singh, Sohal, Vinit Grewal, Jaipreet Kaur, Mandir Lal Singh, “Deep Learning Based Analog beamforming design for millimeter wave Massive MIMIO System”, Research Square, July 2021.
    [10] Ahmet M. Elbir, “CNN -Based Precoder and Combiner Design in MMWave MIMO Systems”, IEEE Communications Letters, vol. 23, No.7, July 2019.
    [11] Wang, S., Li, L., Ruby, R., & Li, P., “A general hybrid precoding scheme for millimeter wave massive MIMO systems”, Wireless Networks, 26, 1331–1345, https://doi.org/10.1007/s11276-019-02190-5(0123456789().,-volV)(0123456789,-().volV).
    [12] Lin T., Jiaqi Cong, Yu Zhu, Jun Zhang and Khaled B., “Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion”, Feb 2019.
    [13] Thupalli Sai ,Priya,Kondala. Manish,P Prakasam,“Hybrid Beamforming for Massive MIMO Using Rectangular Antenna Array Model in 5G Wireless Networks”, Wireless Personal Communications, April 2021.
    [14] Nalband, A. H., Sarvagya, M., & Ahmed, M. R, “Optimal hybrid precoding for millimetre wave massive MIMO systems.” Procedia Computer Science, 171, 810–819.,2020.
    [15] Chataut, Robin, and Robert Akl. 2020. "Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction" Sensors 20, no. 10: 2753. https://doi.org/10.3390/s20102753.
    [16] Rento Hu, LijunJiang, Ping Li,” Hybrid Beamforming With Deep Learning for Large Scale Antenna Arrays”, IEEE Access, April 2021.

Bhagyashri Warhade and Rupali Patil (2024), Millimeter Wave Massive MIMO systems using Hybrid Beamforming. IJEER 12(3), 957-962. DOI: 10.37391/IJEER.120329.