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BER Performance of CE-OFDM System: Over AWGN Channel and Frequency-Selective Channel Using MMSE Equalization

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Embedded Systems and Artificial Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1076))

Abstract

The fifth generation (5G) wireless network technology is to be standardized by 2020, where main goals are to improve capacity, reliability, and energy efficiency. Constant envelope orthogonal frequency division multiplexing (CE-OFDM) is a technique to modify the OFDM signal with high peak-to-average power ratio (PAPR) to a constant envelope zero decibel PAPR waveform, in order to minimize energy consumption in future wireless communication systems (5G). The conventional CE-OFDM uses inverse discrete Fourier transform (IDFT) to calculate the signal time samples before feeding them to the phase modulator. In this paper, the performances of the CE-OFDM are studied in terms of the BER over AWGN channel and frequency-selective fading channel.

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Author information

Authors and Affiliations

  1. Moulay Ismail University, BP 11201 Zitoune, Meknès, Morocco

    J. Mestoui, M. El Ghzaoui & K. El Yassini

  2. Moulay Ismail University, BP 512 Boutalamine, Meknès, Morocco

    M. El Ghzaoui

Authors
  1. J. Mestoui
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  2. M. El Ghzaoui
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  3. K. El Yassini
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Corresponding author

Correspondence to J. Mestoui .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  3. Department of Computer Sciences, Faculty of Sciences Dhar Mahraz, Sidi Mohammed Ben Abbdallah University, Fez, Morocco

    Hassan Satori

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Mestoui, J., El Ghzaoui, M., El Yassini, K. (2020). BER Performance of CE-OFDM System: Over AWGN Channel and Frequency-Selective Channel Using MMSE Equalization. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_7

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