… development of wireless communications into consideration, … next few years and will become
mature in 6G era [10], [11]. 1) … in the deep learning for wireless communications lies in the …

… In this section different machine learning approaches are presented for the purpose of … to
the previous classification results based on the camera image. In future work, the pixels and …

… Mizutani, “On removing routing protocol from future wireless networks: A real-time deep
learning approach for intelligent traffic control,” IEEE Wireless Communications, vol. 25, no. 1, pp…

… After the era of 4G/IMT, the fifth generation (5G) wireless communication is proposed to be
… Thus, incorporating machine learning techniques, that is, reinforcement learning algorithms, …

… Wireless communication has been serving the world with a plethora of technological
inventions from the time of the discovery of cellular frequency reuse [1]. The evolution of …

… of wireless communication channels, especially in B5G scenarios. ML techniques may
automatically extract the unknown channel information by learning from the communication data …

… future 6G wireless communication and its … communications, wireless optical technology,
free-space optical network, blockchain, three-dimensional networking, quantum communications…

… In reality, with high bandwidth applications in the current era, S … learning is considered
at the relay nodes. We also showed that the natural gains from the wireless communication …

… The process of learning and updating communication knowledge from the environment can
… Automatic knowledge base construction approaches cater to the future big data era and are …

… , 5G wireless communication enters the fully implementation and commercial application
era … research is MIMO, channel estimation, and deep learning for wireless communications. …