Telecom is referred to the exchange of information through voice, video and data transmission over long distances. Since the introduction of the internet to the world, telecom has been one of the major driving forces behind global development and value creation.
The recent changes in the telecommunication industry can easily be attributed to the advancement in technology. High growth rates are being forecasted in this sector and these top technology trends will foster the development of telecom in 2020 and beyond.
The advent of 5G
With the increasing demand for high-speed internet, every major telecom company is pushing very hard to dominate the 5G network which is one of the major telecom trends of 2020. This year, the world will only see more 5G trials and pilots come to market as more 5G chipsets become available.
5G promises some dramatic changes in our everyday lives. With 5G, you can enjoy seamless gaming experience in the top casinos, such as live casino India offering a variety of games to their customers. In addition, it will offer improved data rates, ultra-low latency and enable network slicing. This will introduce new services, network operation and customer experience for telecom operators.
Citizens Broadband Radio Service or CBRS is the 150 MHz-wide band of the 3.5 GHz spectrum (3550 MHz to 3700 MHz) recently allocated by the FCC. CBRS has the potential to replace Wi-Fi used for various applications, including enterprise communications and Industrial IoT.
In the coming years, CBRS devices will be deployed just like the traditional Wi-Fi access points and chances are that the future devices might support both Wi-Fi and CBRS. The CBRS devices will be required to register with the Spectrum Allocation Service (SAS) to avoid any interference. After SAS processes all the information and interference are avoided, the CBRS system becomes operational.
Better automation with AI and IoT
The telecom industry uses AI in many aspects of its business today. With virtual assistants and chatbots, telecom companies are able to offer great customer service which improves customer satisfaction. AI is necessary for the optimization of the network and it is also good at detecting fraudulent activity.
IoT generates a huge amount of data and enables operators to control the source of data. Additionally, the data often needs to be analyzed in real-time and decisions might be needed to make in real-time to better train machines. The combination of IoT, Analytics and AI together is the classic AI use case. These technologies are still in their infancy and their development will continue in the coming years.
Edge computing is a distributed computing paradigm that brings data storage and computing closer to the required location in order to improve response time and save bandwidth. With the increase in the use of IoT and AI, we can expect that the need for well-defined and reliable edge computing will continue to rise. Edge computing will continue to evolve in 2020 and beyond.