Machine Learning on 6G – While the entire world is trying to grapple with the 5G implications, researchers from China have started working on 6G using statistical methods and machine learning algorithms. It is believe that 6G will operate on higher frequency as compared to 5G. The shorter frequencies will empower higher localization precision, which will be perhaps down to cm level positioning.
A research team from NTU Singapore, Monash University, Australia, China, and others found the challenges of adopting 6G since the whole world shifts towards Machine Learning based substantial solutions. The country China has officially launched R&D work for its 6G networks. As we all know that 5G is in its infancy, and the people around the world are still using 4G networks, the decision of China will bring the country ahead of times.
5G is the next-gen mobile network that provides extremely fast data speeds. These systems vowed to help innovations, for example, driver-less vehicles and virtual reality. While 5G is already surrounded by much hype, there is no clarity about its impact on industries and consumers other than faster downloading speed.
South Korea is the only other nation after China to turn out 5G. Countries like the US and UK have had a much more limited release.
How Machine Learning Helps Mobile Networking Industry?
The latest innovations speeding up the technology of ML are to analyze super complex, more critical data and make faster and precise delivery of results. It is now turning out to be an indispensable tool for network automation and better-operating efficiency.
[ Read on: Why Modern Software Testing Can’t Do Without Machine Learning? ]Machine Learning can be useful in enhancing the security and quality of user experience. The mobile networking industry can leverage technology to work on UX and security. Here are five different ways to do that:
-
Better video streaming
As shorter ones replace bigger screens, mobile video consumption remains high. There is a possibility that sooner mobiles will be going to supersede TV screens, especially in the US. With high volumes of streaming video over mobile networks, users may encounter network congestion-related issues like stuttering video, dropped sessions, and unsatisfactory viewing experience.
ML algorithms can be applied for predicting networks throughout for the optimal level of video quality that can be streamed by the user.
-
Better overall experience
ML technology can be deployed to influence the scheduling of video transmissions. It will offer optimal UX for mobile services like video, social media, messaging, and browsing. ML algorithms can ingest real-time data related to network congestion, type of content, user behavior, and reception and later predict the precise amount of radio resources needed for meeting user expectations.
-
Demand for better security
So many people are doing mobile transactions, which eventually highlights how security is essential. IoT devices strengthen security and developed unique business strategies. Many hospitals, banks, and airports are asked to use IoT devices to provide tight security to their users and prevent cyber-attacks.
-
Offering smart home services
With machine learning, it is possible to monitor homes and send real-time alerts to subscribers. This is an opportunity for mobile operators as they can offer new revenue-generating services to their customers. IoT with machine learning technology could be use to observe, analyze, and automate a particular repeated chain of events.
-
Safer browsing for children
Mobile operators can allow parents to monitor the mobile usage of children and young adults. ML-based content control services are different from having a nanny. It is much more like a watchdog app that blocks access to unrelated sites which cause damage to the children.
6G Communications Expected to Hit Up To 1 TBPS Data Rate Each User
While most of the features and infrastructure are still under the curtain, we can expect that AI will play a significant role. This technology expects to revolutionize virtual communication way with AR/VR. With the development of deep learning, the 6G devices and apps will be heavy on personalization. However, privacy maintenance without trading efficiency will remain a challenging thing.
China is focusing on 6G as it sees the most significant technology in the future. As competition continues to blow up between telecommunication companies, the machine learning consulting services offer precise insights for better optimization and fantastic customer experience. If the apps include cost-efficient computing power, Machine Learning technology turns out to be a practical tool for operational excellence.
