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Multilevel Coding for Multiple Input Multiple Output System

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Computational Intelligence and Sustainable Systems

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

The future wireless communication system focuses on high data rate and reliability to cater the next generation technologies such as internet of things (IoT), real time voice calls etc., which would produce enormous real time multimedia data. In order to overcome the challenges, next generation wireless communication systems rely on MIMO techniques, which provide improved capacity without sacrificing the power and bandwidth. Many novel signal processing techniques have evolved in the past two decades for MIMO systems such as Spatial Multiplexing (SML), Space Time Coding (STC), Antenna Beamforming, Spatial Modulation (SM) and hybridization of the above mentioned techniques. In all these techniques, the computational complexity is the major problem when a high data rate is considered. This chapter focuses on computational complexity of the multilevel MIMO system and also investigates the performance of the multilevel MIMO system over varied channel conditions. Variations of Multilevel MIMO technique such as multilevel spatial modulation (MLSM) and Hybrid Multilevel (HML) Modulation scheme have been investigated and analyzed with low complex sequential decoding algorithm. Further, multilevel MIMO-OFDM systems MLSTTC-OFDM, MLSM-OFDM and HML-OFDM have also been compared.

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Author information

Authors and Affiliations

  1. Department of ECE, Kumaraguru College of Technology, Coimbatore, Tamilnadu, India

    K. Kavitha

  2. Department of ECE, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India

    H. Mangalam

Authors
  1. K. Kavitha
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  2. H. Mangalam
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Correspondence to K. Kavitha .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    H. Anandakumar

  2. Bannari Amman Insititute of Technology, Sathyamangalam, Tamil Nadu, India

    R. Arulmurugan

  3. University of Malaya, Kuala Lumpur, Kuala Lumpur, Malaysia

    Chow Chee Onn

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Kavitha, K., Mangalam, H. (2019). Multilevel Coding for Multiple Input Multiple Output System. In: Anandakumar, H., Arulmurugan, R., Onn, C. (eds) Computational Intelligence and Sustainable Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-02674-5_18

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  • DOI: https://doi.org/10.1007/978-3-030-02674-5_18

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  • Online ISBN: 978-3-030-02674-5

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