Review on Energy Efficient MIMO Based 5G Communication Network

Year : 2024 | Volume :12 | Issue : 01 | Page : 19-23
By

Navneet Kaur

Shalini Sahay

Mehajabeen Fatima

Jyoti Jain

  1. Associate Professor Department of Electronics and Communication, SIRT, Bhopal Madhya Pradesh India
  2. Associate Professor Department of Electronics and Communication, SIRT, Bhopal Madhya Pradesh India
  3. Associate Professor Department of Electronics and Communication, SIRT, Bhopal Madhya Pradesh India
  4. Head Of Department Department of Electronics and Communication, SIRT, Bhopal Madhya Pradesh India

Abstract

As we near the advent of fifth-generation (5G) communication networks, prioritizing energy efficiency (EE) in design becomes increasingly vital for sustainable progress. A pivotal element facilitating 5G is massive multiple-input multiple-output (MIMO) technology, wherein base stations (BSs) are equipped with a vast array of antennas to achieve significant spectrum and energy efficiency improvements. This article delves into a comprehensive examination of the latest strategies aimed at optimizing EE enhancements offered by massive MIMO (MM). Initially, we present an introduction to MM systems and explore techniques for constructing customized power consumption models suitable for these systems. We summarize and highlight a few of the most well-known EE-maximization strategies that are presently documented in the literature.

Keywords: 5G networks, heterogeneous networks, massive MIMO, energy efficiency, millimeter wave, energy harvesting

[This article belongs to Research & Reviews: A Journal of Embedded System & Applications(rrjoesa)]

How to cite this article: Navneet Kaur, Shalini Sahay, Mehajabeen Fatima, Jyoti Jain. Review on Energy Efficient MIMO Based 5G Communication Network. Research & Reviews: A Journal of Embedded System & Applications. 2024; 12(01):19-23.
How to cite this URL: Navneet Kaur, Shalini Sahay, Mehajabeen Fatima, Jyoti Jain. Review on Energy Efficient MIMO Based 5G Communication Network. Research & Reviews: A Journal of Embedded System & Applications. 2024; 12(01):19-23. Available from: https://journals.stmjournals.com/rrjoesa/article=2024/view=139125

References

  1. Li H, Wang Z, Wang H. An energy-efficient power allocation scheme for Massive MIMO systems with imperfect CSI. Dig Signal Process. 2021;112:102964. DOI: 10.1016/j.dsp.2021.102964.
  2. Wong E, Grigoreva E, Wosinska L, Machuca CM. Enhancing the survivability and power savings of 5G transport networks based on DWDM rings. J Optic Commun Network. 2017; 9 (9): D74–D85. doi: 10.1364/JOCN.9.000D74.
  3. Bassoli R, Di Renzo M, Granelli F. Analytical energy-efficient planning of 5G cloud radio access network. In: 2017 IEEE International Conference on Communications (ICC), Paris, France, May 21–25, 2017. pp. 1–4. doi: 10.1109/ICC.2017.7996871.
  4. Al-Quzweeni A, El-Gorashi TEH, Nonde L, Elmirghani JMH. Energy efficient network function virtualization in 5G networks. In: 2015 17th International Conference on Transparent Optical Networks (ICTON), Budapest, Hungary, July 5–9, 2015. pp. 1–4. doi: 10.1109/ICTON.2015.71
  5. Priyadharshini I, Nandakumar S. The energy efficient power allocation for multiple relay-aided D2D communication in 5G networks using iterative algorithm. In: 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), Vellore, India, March 30–31, 2019. pp. 1–5. doi: 10.1109/ViTECoN.2019.8899402.
  6. Dash L, Khuntia M. Energy efficient techniques for 5G mobile networks in WSN: a survey. 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), Gunupur, India, March 13–14, 2020. pp. 1–5. doi: 10.1109/ICCSEA49143.2020.9132941.
  7. Hossain T, Mowla MM, Ali MY. Energy efficiency investigation in massive mimo 5g system using nakagami-m fading channel. In: 22nd International Conference on Computer and Information Technology (ICCIT). IEEE Publications; 2019. pp. 1–5. DOI: 10.1109/ICCIT48885.2019.9038180.
  8. Sheikh TA, Bora J, Hussain MA. Massive MIMO system lower bound spectral efficiency analysis with precoding and perfect CSI. Dig Commun Networks. 2021;7:342–351. DOI: 10.1016/j.dcan.2020.04.004.
  9. Torre R, Leyva-Mayorga I, Pandi S, Salah H, Nguyen GT, Fitzek FHP. Implementation of network-coded cooperation for energy efficient content distribution in 5G mobile small cells. IEEE Access. 2020; 8: 185964–185980. doi: 10.1109/ACCESS.2020.3029601.
  10. Mohammadghasemi H, Sabahi MF, Forouzan AR. Pilot-decontamination in massive MIMO systems using interference alignment. IEEE Commun Lett. 2019;24:672–675.
  11. Sheng Z, Tuan HD, Nguyen HH, Fang Y. Pilot optimization for estimation of high-mobility OFDM channels. IEEE Trans Veh Technol. 2017;66:8795–8806. DOI: 10.1109/TVT.2017.2694821.
  12. Shin C, Andrews JG, Powers EJ. An efficient design of doubly selective channel estimation for OFDM systems. IEEE Trans Wireless Commun. 2007;6:3790–3802. DOI: 10.1109/TWC.2007.
  13. Ren X, Chen W, Tao M. Position-based compressed channel estimation and pilot design for high-mobility OFDM systems. IEEE Trans Veh Technol. 2014;64:1918–1929. DOI: 10.1109/TVT.2014.
Regular Issue Subscription Review Article
Volume 12
Issue 01
Received March 22, 2024
Accepted April 1, 2024
Published April 4, 2024
Views: 60