STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Communication Engineering & Systems

Comparative Study of Machine Learning Techniques for Intelligent 6G Wireless Networks

  1. Anita Patil
  2. Sridhar Iyer

Abstract

With exponential increase in the traffic and corresponding bandwidth demand, there is an immediate requirement to serve this traffic through the high-speed wireless communication networks. To fulfil requirements of the next-generation users, it will be mandatory to resort to use of advanced physical layer solutions, spectral bands at higher frequency, and efficient software enabled intelligent algorithms. In this regard, Machine Learning (ML) algorithms will play a key role in ensuring intelligence within 6G wireless system. In this article, we present a detailed review of the ML techniques which are applicable to the next generation 6G wireless networks. We also highlight the most attractive applications of 6G networks, and conclude by mentioning the importance of adopting ML within the 6G networks.

Keywords

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