Robust Analysis of Minimizing PAPR Reduction by Using Low Density Symbol Check

Authors

  • G. Jagga Rao  Ph.D Scholar, Department of ECE, Shri JJT University, Rajasthan, India
  • Dr. Y. Chalapathi Rao  Associate Professor & HOD, Department of ECE, Guntur Engineering College, Yanamadala, Andhra Pradesh, India

Keywords:

LDSC, FEC, PAPR, MIMO-CEM ,CEM, QPSK, OFDM

Abstract

MIMO-Constant Envelop Modulation CEM) is a very energy and complexity green system, which is brought as alternative candidate to the presently used MIMO-Orthogonal Frequency Division Multiplexing (OFDM). CEM system enables to apply excessive green nonlinear power amplifier on the transmitter aspect and 1 bit (low resolution) analog to virtual converter (ADC) at the receiver aspect. Due to adopting the low resolution at the receiver facet a fantastic discount in hardware complexity and energy consumption can be done. However, there could be a considerable degradation on the overall performance of bit blunders rate (PAPR) at the receiver facet due to sever quantization error brought through the low-resolution ADC, so a forward mistakes correction coding is critical to decorate the PAPR. In this paper a LDSC coded MIMO-CEM device turned into used as a substitute for MIMO-OFDM to address the PAPR degradation hassle of the CEM gadget. The performance of the LDSC coded MIMO-CEM with Gaussian Minimum Phase Shift Keying (QPSK) modulation is evaluated over a multi-route Rayleigh fading channel. It confirmed that LDSC codes are powerful to improve the PAPR overall performance of CEM on Rayleigh fading channels.According to the simulation consequences, the MIMO-CEM system affords a large development in PAPR overall performance and outperforms the un-coded and the unique convolution coder primarily based CEM structures.

References

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Published

2018-06-30

Issue

Section

Research Articles

How to Cite

[1]
G. Jagga Rao, Dr. Y. Chalapathi Rao, " Robust Analysis of Minimizing PAPR Reduction by Using Low Density Symbol Check, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.1104-1109, May-June-2018.