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Incredible VLSI Design for MIMO System Using SEC-QPSK Detection

by L. Vasanth*, N. J. R. Muniraj

Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamil Nadu, 641659, India

* Corresponding Author: L. Vasanth. Email: email

Intelligent Automation & Soft Computing 2022, 33(2), 955-966. https://doi.org/10.32604/iasc.2022.022979

Abstract

Multiple Input Multiple Output (MIMO) is an advanced communication technology that is often used for secure data transfer for military and other applications while transmitting data with high error and noise. To address this issue, a step-by-step hybrid Quadrature Phase Shift Keying (QPSK) modulation scheme in the MIMO system for a complex Very Large-Scale Integration (VLSI) format is recommended. When compared to Binary Phase Shift Keying (BPSK), this approach provides twice the data rate while using half the bandwidth. The complexity is lowered through multiplication and addition, as well as error and noise reduction in data transport, and MIMO detection is accomplished through the combination of two techniques, Inverse Fast Fourier Transform (IFFT) and Stepwise Exponential Companding (SEC). IFFT converts frequency to the time domain, reducing complexity by 23.56 percent in multiplication and an extra 34.05 percent. Likewise, hierarchical high-speed mixing decreases difficult limits by 13% and the addition problem by 25%. This technological outcome results in a decreased Signal-to-Noise Ratio (SNR) and Bit Error Rate (BER).

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APA Style
Vasanth, L., Muniraj, N.J.R. (2022). Incredible VLSI design for MIMO system using SEC-QPSK detection. Intelligent Automation & Soft Computing, 33(2), 955-966. https://doi.org/10.32604/iasc.2022.022979
Vancouver Style
Vasanth L, Muniraj NJR. Incredible VLSI design for MIMO system using SEC-QPSK detection. Intell Automat Soft Comput . 2022;33(2):955-966 https://doi.org/10.32604/iasc.2022.022979
IEEE Style
L. Vasanth and N. J. R. Muniraj, “Incredible VLSI Design for MIMO System Using SEC-QPSK Detection,” Intell. Automat. Soft Comput. , vol. 33, no. 2, pp. 955-966, 2022. https://doi.org/10.32604/iasc.2022.022979



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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