Mumbai: The 5G spectrum auction that happened recently is a big step towards the launch of new internet and telecom experience in India. 5G will take India's telecom services to the next level and bring it at par with countries like China, the US, and South Korea.
A step towards fueling future innovation, the government is now trying to leverage & integrate artificial intelligence (AI) and big data (BD) in the telecommunication sector as both are inherently synergistic. To make this possible, The Telecom Regulatory Authority of India (Trai) has released a consultation paper on "Leveraging AI and BD in the telecommunication sector." The regulatory body has asked its stakeholders to submit any consent and issues regarding the consultation paper by 16 September & 30 September will be the last date for counter comments.
5G would bring advancement in the media & entertainment industry as the consumers soon be able to access faster internet speed and services. It will enable faster download speeds, lower latency (the response time to transfer computer information), greater flexibility and ability to support more devices.
Through the 5G auction, a total of 51.2 GHz spectrum was sold and 71 percent of total spectrum was put up for sale. It helped the government to earn a record Rs 1.5 lakh crore recently.
Further, the telecom regulator, in its consultation paper, sought opinions on areas where the telecom networks' present and future capabilities could be used to leverage AI and BD. The paper also presented examples of AI and BD already deployed in telecom networks by the operators in India & other jurisdictions.
Leveraging AI and BD in 6G era
The regulator also looked at developments happening in the 6G and possibilities emerging in the 6G era to leverage AI and BD in the telecom sector as well as other sectors where telecom can play an important and crucial role.
The consultation paper followed the department of telecom's referral to Trai in June 2019, in which the department requested a recommendation on leveraging AI and BD in a synchronised and effective manner to improve the overall quality of service, spectrum management, network security, and reliability.
The paper stated, "It has been noted that 5G and beyond networks will provide a plethora of data that may be useful for telecom as well as other sectors. Edge computing in the 5G era may offer opportunities to other sectors to train and validate their AI models in the telecom networks."
"In 5G and beyond, networks may also offer privacy-preserving architectures to adopt and accelerate AI and BD in other sectors," the paper added.
The paper covered risks associated with the adoption of AI and BD, such as unethical use, bias in data and algorithms, model instability, regulatory and legal noncompliance, and risk mitigation methods and mechanisms. Further, there is a risk of privacy among users, which includes data exploitation, the risk of identification and tracking, and individual profiling.
It also further stated, "If privacy concerns are not addressed and trust is not instilled among the users, then it may become one of the biggest concerns in the adoption of AI."
The paper's focus was on privacy concerns and their impact on developing intelligent solutions. The paper identified and presented various solutions and initiatives that may be taken to address the risks and concerns. It also suggested ways to overcome these constraints for faster adoption of AI.
Trai mentioned in its paper that they also noted the latest developments in the field of AI, which may be useful in multi-domain, multi-vendor, and multi-AI model environments.