General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
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Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2024 Vol.16(1): 1-11
DOI: 10.7763/IJCTE.2024.V16.1348

Performance Enhancement of Precoded Point-to-Point Massive MIMO Systems Using Uniform and Non-uniform Quantized ADC/DACs

Girish Kumar N G1,* and M N Sree Ranga Raju2
1. Department of Telecommunication Engineering, Bangalore Institute of Technology, Bangalore, India
2. Department of Electronics and Communication Engineering, Bangalore Institute of Technology, Bangalore, India
Email: girishkumarng@bit-bangalore.edu.in (G.K.N.G.)
*Corresponding author

Manuscript received April 13, 2023; revised May 30, 2023; accepted July 10, 2023; published January 8, 2024

Abstract—This paper investigates the spectral and energy efficiency of a Precoded point-to-point massive MIMO system with low-resolution Analog to Digital Converters (ADCs) and Digital to Analog Converters (DACs), using both uniform and non-uniform quantization while considering the quantization noise. The authors propose an iterative alternating minimization algorithm to obtain the optimal hybrid precoder matrix and explore the trade-off between spectral and energy efficiency. The proposed system considers a single-user point-to-point massive Multiple Input and Multiple Output (MIMO) system with a base station and receiver equipped with low-resolution DACs and ADCs, respectively, and a narrow-band Rayleigh-fading channel. The simulation results show that the proposed Hybrid Precoding (HP) algorithm improves the spectral and energy efficiency of the massive MIMO system compared to a fully digital precoded system, with both Uniform and Non-Uniform Quantization. Transmit precoding is used to improve the downlink performance and simplify the receiver design in massive MIMO systems. However, this study shows that HP with low-resolution ADCs/DACs can achieve similar or better performance than Fully Digital Precoding (FDP), with significant reductions in hardware complexity and power consumption. The results suggest that HP can be a promising solution for future wireless communication systems. Future work could explore other channel models, different quantization schemes, and multi-user scenarios to further enhance the performance of HP in massive MIMO systems.

Keywords—Massive Multiple Input and Multiple Output (MIMO) systems, hybrid precoding uniform quantization, non-uniform quantization, spectral efficiency, energy efficiency

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Cite:Girish Kumar N G and M N Sree Ranga Raju, "Performance Enhancement of Precoded Point-to-Point Massive MIMO Systems Using Uniform and Non-uniform Quantized ADC/DACs ," International Journal of Computer Theory and Engineering vol. 16, no. 1, pp. 1-11, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).


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