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Massive MIMO Technologies: A Review

Amita Agnihotri

Abstract


This paper discusses the study and exploration of massive Multiple-Input Multiple-Output (MMIMO) wireless access technology spurred by the global bandwidth shortage in the wireless communication sector (MIMO). Massive MIMO is a major enabling technology for next-generation networks that combines antennas at both the transmitter and receiver to enable exceptional spectrum and energy efficiency with little processing. The effective deployment of 5G—and beyond—networks to realise diverse applications of the intelligent sensing system requires a better understanding of the massive MIMO system to solve the fundamental challenges of this technology. We offer a detailed review of the key enabling technologies for 5G and 6G networks in this study, with a focus on large MIMO systems. We go over all of the key aspects of a massive MIMO system, including pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, signal identification, and some cutting-edge mitigation strategies. We also go over important open research questions that will guide future research on massive MIMO systems for 5G and beyond networks.

 


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References


Marzetta TL. Non-cooperative cellular wireless with unlim-ited numbers of base station antennas. IEEE Transaction on Wireless Communication. 2010; 9(11):pp3590–600

Ranjith S, Vishnupriya T. Analysis and design of SDF ar-chitecture for MIMO application. Indian Journal of Science and Technology. 2016; 9(8)

Manikandan C, Neelamegam P, Divya E. OFDM tech-niques for MIMO-OFDM system: A review. Indian Journal of Science and Technology. 2015; 8(22).

Larsson E, Edfors O, Tufvesson F, Marzetta T. Massive MIMO for next generation wireless systems. IEEE Com-munications Magazine. 2014; 52(2):pp186–195.6.

Hoydis J, Brink ST, Debbah M. Massive MIMO: How many antennas do we need? IEEE 49th Annual Allerton Confer-ence onCommunication, Control, and Computing (Aller-ton); 2011 Sep. pp 545–550.

Lee C, Chae CB. Kim T, Choi S, Lee J. Network massive MIMO for cell-boundary users: From a precoding normal-ization perspective. Globecom Workshops (GC Wkshps); 2012 Dec.p. 233–237.

Bjornson E, Kountouris M, Debbah M. Massive MIMO and small cells: Improving energy eciency by optimal so-cell coordination.IEEE 20th International Conference onTele-communications (ICT); 2013 May. p.p 1–5

Truong KT, Heath RW. Eects of channel aging in massive- MIMO systems. Journal of Communications and Net-works. 2013; 15(4):pp338–351

Mohammed SK, Larsson EG. Constant-envelope multi-user precoding for frequency-selective massive MIMO systems. IEEE Wireless Communications Letters. 2013; 2(5):pp547–550.

Bjornson E, Sanguinetti L, Hoydis J, Debbah M. Designing multi-user MIMO for energy eciency: When is massive MIMO the answer? IEEE Wireless Communications and Networking Conference (WCNC); 2014 Apr. p.p 242–7.13.

Zhu J, Schober R, Bhargava VK. Secure transmission in multicell massive MIMO systems. IEEE Transactions on Wireless Communications. 2014; 13(9):4766–81.14.

Zhang Q, Jin S, Wong KK, Zhu H, Matthaiou M. Power scal-ing of uplink massive MIMO systems with arbitrary-rank channel means. IEEE Journal of Selected Topics in Signal Processing. 2014; 8(5):966–81.




DOI: https://doi.org/10.37628/jbcc.v7i2.1628

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