Connect with us

Technology

TRAI Asks Telcos to Submit State, UT-Wise Call Service Quality Reports

Avatar

Published

on

TRAI had made it clear last week that it will ask telecom operators to report call drop data at state level too.
By Press Trust of India | Updated: 25 February 2023

Sector regulator TRAI on Friday issued directions to telecom service providers to submit service quality reports for each state and Union Territory too.

TRAI said submission of state and Union Territory-wise report for QoS (quality of service) parameters is essential for optimum analysis of service quality being provided by telcos.

“This will also help respective state/UT governments in facilitating service providers in improving QoS in the State /UT as and when required,” TRAI said in a statement.

Accordingly, the telecom operators have been directed to submit state and Union Territory-wise reports, in respect of QoS parameters on quarterly basis starting from March 2023 quarter.

“LSA (Licensed Service Area)-wise data, as currently being submitted through various performance monitoring reports, shall continue to be submitted as per schedule defined in the regulation,” it said.

The Telecom Regulatory Authority of India (TRAI), last week at a review meeting, had made it clear that it will ask telecom operators to report call drop data at state level too, amid rising instances of service quality issues and consumer complaints.

Earlier this week, mobile operators’ body COAI said that reporting call drop data even state-wise entails several administrative and execution “difficulties” on ground, and that reporting should continue at LSA (Licensed Service Area) level.

A few days back, TRAI had asked telecom operators to report call drop and outage data at the state level also and take immediate steps to “demonstrate visible improvement” in quality of service and connectivity experience for consumers across the country. On the issue of pesky promotional calls and messages, TRAI said telcos will be asked to implement an AI/ML (Artificial Intelligence/Machine Learning) tool which has been found to be effective in detecting and blocking spam that is pushed by unregistered telemarketers through telephone numbers (10 digits numbers).