Acta Scientific Computer Sciences

Research Article Volume 4 Issue 3

Network Densification and Massive Mimo: The Road to 5G

Pratibha Singh, Manish Kumar Dixit, Arun Kumar Singh and Saurabh Dixit*

Department of Electronics and Communications Engineering, Dr. A P J Abdul Kalam Technical University, India

*Corresponding Author: Saurabh Dixit, Department of Electronics and Communications Engineering, Dr. A P J Abdul Kalam Technical University, India.

Received: December 07, 2021; Published: February 22, 2022


The road to Fifth Generation (5G) mobile communication standard runs through the Fourth Generation (4G) wireless infrastructure. 5G promises not only a 100x times increase in the peak data rates but also an ultra-reliable low latency (URLL) connections like autonomous cars, remote surgery and Internet of Things (IoT). These remarkable capabilities have been envisaged because of landmark improvements in enabling technologies like carrier aggregation (CA), small cell, massive multiple-input-multiple-output (MIMO), beamforming, carrier network, active antenna system (AAS), full dimension MIMO (FD-MIMO). MIMO technology employs multiple antennas at both the transmit and receive end to boost capacity and augment network efficiency. It has been demonstrated that multi-user MIMO (MU-MIMO) improves Energy Efficiency (EE). Massive MIMO adds a new paradigm to the MIMO communication. The flexibility and scalability of massive MIMO vastly improves the capacity and reliability of the network. The cell size of the network also needs to scalable to blend with the scalability of massive MIMO. To augur well with the scalability of densification of cell size, the role of machine learning algorithms is paramount, as conventional cell size is unable to optimize the efficiency of the network. In this article, the key aspects of massive MIMO are analysed and a model is presented. The dynamics of wireless communications require a scalable and adaptive system. Hence, we have proposed machine learning algorithms which render the network a fair degree of flexibility and scalability.

Keywords: 5G; Energy Efficiency; Machine Learning; Massive MIMO; Network Densification


  2. Prabhu H., et al. “A 60 pJ/b 300 Mb/s 128× 8 Massive MIMO Precoder-Detector in 28 nm FD-SOI”. International Solid-State Circuits Conference (ISSCC), San Francisco (CA) USA, February (2017).
  3. Massive MIMO: News - commentary - mythbusting, 5. A. Nordrum. “5G researchers set new world record for spectrum efficiency”. IEEE Spectr (2016).
  4. Chaiman Lim., et al. Qualcomm Incorporated Bruno Clerckx, Imperial College, London Byungju Lee and Byonghyo Shim, Korea University. “Recent Trend of Multiuser MIMO in LTE-Advanced". IEEE Communications Magazine (2013).
  5. , et al. “Full Dimension MIMO(FD-MIMO): The next evolution of MIMO in LTE Systems". IEEE Wireless Communications (2014).
  6. Larsson E G., et al. “Massive MIMO for next generation wireless systems”. IEEE Communications Magazine 2(2014): 186-195.
  7. Björnson Emil., et al. “Massive MIMO: Ten myths and one critical question". IEEE Communications Magazine2 (2016): 114-123.
  8. T Marzetta., et al. “Fundamentals of Massive MIMO”. Cambridge University Press (2016).
  9. Buzzi S and D’Andrea C. “Are mm Wave Low-Complexity Beamforming Structures Energy-Efficient? Analysis of the Downlink MU-MIMO”. IEEE Globecom workshops 2016, Washington D.C. USA, December (2016).
  10. , et al. “Recent Advances in Energy advances in Energy-Efficient networks and their application in 5G systems". IEEE Wireless Communications (2015): 145-151.
  11. Ning Liang., et al. “An Uplink Interference Analysis for Massive MIMO Systems with MRC and ZF Receivers” (2015).


Citation: Saurabh Dixit., et al. “Network Densification and Massive Mimo: The Road to 5G". Acta Scientific Computer Sciences 4.3 (2022): 03-07.


Copyright: © 2022 Saurabh Dixit., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate35%
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