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Performance Improvement of MIMO-FBMC Systems Using Different Diversity Combining Schemes Through AWGN and Rayleigh Channels

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Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 956))

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Abstract

Diverse methodologies of Diversity combining schemes are used for performance improvements of Filter Bank Multicarrier (FBMC) by using Additive White Gaussian Noise and Rayleigh channels. These diversity combining schemes are Maximum Ratio combining and Selection Combining. The proposed schemes are implemented by using different channels of MIMO methodology, which results in high order diversity. This system simulation includes varying number of receiving antennas to analyzes the performance over AWGN and Rayleigh channel. The aim of the proposed schemes is to improve bit error rate (BER) performance with using two different diversity combining schemes. It observed through MATLAB simulations that the proposed schemes provides evident performance improvements.

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Authors and Affiliations

  1. School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India

    Satwinder Kaur, Lavish Kansal & Gurjot Singh Gaba

  2. Signals, Systems and Components Laboratory, Faculty of Sciences and Technologies, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Mohamed El Bakkali

  3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia

    Faisel Em Tubbal

  4. School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW, 2522, Australia

    Faisel Em Tubbal

  5. Technological Projects Department, The Libyan Centre for Remote Sensing and Space Science, Tripoli, Libya

    Faisel Em Tubbal

Authors
  1. Satwinder Kaur
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  2. Lavish Kansal
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  3. Gurjot Singh Gaba
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  4. Mohamed El Bakkali
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  5. Faisel Em Tubbal
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Corresponding author

Correspondence to Gurjot Singh Gaba .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary’s University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

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Kaur, S., Kansal, L., Gaba, G.S., El Bakkali, M., Tubbal, F.E. (2019). Performance Improvement of MIMO-FBMC Systems Using Different Diversity Combining Schemes Through AWGN and Rayleigh Channels. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 956. Springer, Singapore. https://doi.org/10.1007/978-981-13-3143-5_13

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  • DOI: https://doi.org/10.1007/978-981-13-3143-5_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3142-8

  • Online ISBN: 978-981-13-3143-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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