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Convolution Encoder for BER Analysis Using Doppler Frequency Shift in the Packet Erasure Network

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Proceedings of the International Conference on Data Engineering and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 468))

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Abstract

Trustworthy communication with higher data rates at affordable cost and optimum performance are the requirements for any wireless communication system; system design for such network should consider the challenges of narrow spectrum and losses in wireless network components. This paper compares the performance of the model for Bit Error Ratio (BER) analysis using a Doppler frequency shift in the packet erasure network with various modes of operation of the encoder. In last decade many researchers have shown interest in developing the models for BER, while in the paper we have made an analysis and comparison of the model developed for the optimizing the error in the speech signal. Doppler frequency variation method plays a vital role in optimizing the errors of the packet erasure network. The implemented Rayleigh channel model is a generalized model over which experimentation was carried out to conclude with the performance for minimum BER.

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References

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Acknowledgments

This paper is the part of research work carried out by Mr. Arjun Ghule for his PhD work. We would like to thank the reviewers for their valuable comments for improvement of this paper.

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Correspondence to Arjun Ghule .

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Arjun Ghule, Prabhu Benakop (2017). Convolution Encoder for BER Analysis Using Doppler Frequency Shift in the Packet Erasure Network. In: Satapathy, S., Bhateja, V., Joshi, A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 468. Springer, Singapore. https://doi.org/10.1007/978-981-10-1675-2_12

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  • DOI: https://doi.org/10.1007/978-981-10-1675-2_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1674-5

  • Online ISBN: 978-981-10-1675-2

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