Exploring the 6G era through artificial intelligence and machine learning.

The introduction of 6G networks is about to set off a major transformation in the global communications industry. The combination of artificial intelligence with 6G has the potential to significantly transform our environment, way of life, and technology. The use of advanced machine learning techniques is becoming more important as the telecom sector gets ready to make the switch to 6G networks to improve network performance and encourage application innovation. The achievement of classifying the 6G models is calculated based on certain parameters such as rating and network type/operator (Airtel, BSNL, MTNL, VI, and RJio). According to the dataset obtained from Kaggle.com named "6g_coverage_worldwide," different operators rely on different networks, and their performance is measured according to their requirements. In the 3G network, Airtel has a rating of less than 0, for BSNL it is 20, for MTNL the rating is slightly less than BSNL which is 10, and for VI, it is higher, equal to 200. The 4G network has only two operators, BSNL and VI. The rating of BSNL is 80, and for VI, it is 30. In the 5G network, there is a new network called RJio. The rating for Airtel is 99, for BSNL it is 20, for RJio it is 100, and for VI it is the same as that of RJio, i.e. 100. In the 6G network, three operators are there: Airtel, RJio, and VI. Airtel has a rating of 140; for RJio, the rating touches 400; and for VI, it is above 800. From this, we can conclude that 6G is going to be the most used network in the coming years. This model is calculated in the Python language using Google Collab. The R-squared (R2) of two different models is compared. The coefficient of determination, or R-squared (R2), is a statistical measure that determines how well a model predicts future outcomes or tests hypotheses. The R-squared (R2) of linear regression equals 100%, while for support vector machines (SVM), it is equal to 80%. So, linear regression is a straightforward and interpretable model. It assumes a linear relationship between the independent and dependent variables, making it easy to understand and implement. The peak data rates (in gigabits per second) of mobile broadband technologies, namely 4G, 5G, and 6G are calculated. In the upcoming years, we will witness the emergence of 6G, which has a data rate of 1000 GB/sec. This combination indicates a future where intelligent networks redefine connectivity and promote social progress and innovation. [ABSTRACT FROM AUTHOR]