Preparation for 6G: 6G network will be equipped with AI and machine learning, IIT gets the responsibility

After the success of 5G, the responsibility of 6G has now come on the shoulders of IIT Kanpur. Like the whole world, research has started in the country regarding 6G. The 6G network will be equipped with Artificial Intelligence (AI) and Machine Learning technology. There will be no communication-related problems. At present, manual changes have to be made if there is a problem with the frequency of the 5G network. These problems will be automatically overcome with AI and machine learning.

On the instructions of the Central Government, a task force has been constituted for research on the 6G network. Director of IIT Kanpur Prof. Abhay Karandikar, Director of IIT Madras, Bombay and Hyderabad, is a scientist at Tejas, a 4G company, besides director of IISc, Bangalore. IIT Kanpur developed the baseband unit in 5G.

This unit is located at the bottom of the mobile tower. Its job is to convert the signal into data. The better this unit works, the better the network speed and quality. Director of IIT Prof. Abhay Karandikar told that research has started on 6G. It will take five years to complete the research. Till then the networks of 5G and 5G+ technology will work in the mobile world.

These will be the benefits of 6G

- 6G network will automatically control the frequency depending on the situation.

All the problems coming in the 5G network will be resolved in the 6G network.

- The downloading speed will be very fast.

- There will be no buffering in playing online videos.

artificial intelligence

With the help of AI, a machine can solve a problem with the help of data present in the computer without human help or experience. AI is used in tagging photos on the smartphone's map or social media. With its help, the map gives you information about jams, and bad roads, then in photo tagging your friend gets recognized among all the people present on social media.

machine learning

Machine learning is a technique of computer programming, in which a computer program is designed in such a way that that program can learn new things by itself. Also, if needed, he can take any decision himself. Using this, multi-variant data can be handled easily.

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