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Maximizing Capacity Usage and Selection of Optimal Antennas to Improve Spectrum Efficiency in Massive MIMO Technology

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Abstract

The performance of Massive MIMO can be enhanced by utilizing a large number of antennas than used and signifying its enormous capabilities in upgrading spectral efficiency. Antenna Selection is a low-priced complexity that decreases the number of radiofrequency chains with the contemplation of augmenting channel capacity. In this paper, an Augment Antenna Selection algorithm based on maximum flow minimum cut theorem is proposed which captures the optimal antennas based on the aggregate capacity of the possible antenna combinations. The first step in this algorithm proposes a subset of antennas to compute the augment paths and the second step selection considers the remaining capacity present in antennas to compute the maximum flow in a network. Thus, this algorithm that selects optimal antennas with better channel conditions aims at improving spectrum and energy efficiency. Simulation results show the outage capacity and the performance of BER with 64*64 and 128*128 Massive MIMO versus SNR has been analyzed.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Global Institute of Engineering and Technology, Melvisharam, Vellore, Tamilnadu, India

    J. Daphney Joann

  2. Department of Electronics and Communication Engineering, Veltech Multitech Dr. Rangarajan Dr. Sakuntala Engineering College, Avadi, Chennai, Tamilnadu, India

    V. Rajamani

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  1. J. Daphney Joann
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  2. V. Rajamani
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Correspondence to J. Daphney Joann.

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Daphney Joann, J., Rajamani, V. Maximizing Capacity Usage and Selection of Optimal Antennas to Improve Spectrum Efficiency in Massive MIMO Technology. Wireless Pers Commun 123, 259–271 (2022). https://doi.org/10.1007/s11277-021-09130-7

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