Performance Improvement in 6G Networks Using MC-CDMA and mMIMO

  • A. VijayEmail author
  • K. Umadevi
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)


As several internet-based equipment increases day by day, the need for providing a better quality of service becomes essential which paves the way for evaluation of series of generations in wireless communication. Even though the telecommunications techniques are upgraded and equipment’s of transmission and their techniques are changed, there are certain promising conventional methods, which acts as a backbone for 6G and beyond wireless communication Networks. Two major techniques that support future wireless communication are MC-CDMA (Multi carried code division multiple access) and mMIMO (massive multiple input and multiple output). In this article, we have presented the demands and the support of these two technologies concerning upcoming proposed techniques for 6G wireless communication like Underwater Acoustic Channels, Visible light communication, Terahertz Communication, Large Intelligent Surface, Artificial intelligence and Machine learning, Holographic beamforming, Blockchain-Based Spectrum Sharing. Furthermore, this article will be providing possible opportunities in MC-CDMA and mMIMO for the effective optimization of future wireless Communication.


MC-CDMA mMIMO Deep neural network Machine learning Nano-antenna arrays 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Ambal Professional Group of InstitutionsPalladamIndia
  2. 2.Sengunthar Engineering CollegeTiruchengodeIndia

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