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    Home » TRAI proposes 10-digit numbering system for landlines
    November-18-telecom-news
    November-18-telecom-news
    IT Infrastructure

    TRAI proposes 10-digit numbering system for landlines

    By Juno chenFebruary 10, 2025No Comments2 Mins Read
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    • TRAI has proposed a shift to a 10-digit closed numbering system for fixed-line services in India.
    • The change would require landline users to dial the full 10-digit number, including the area code, even for local calls.

    What happened: TRAI recommends new 10-digit numbering system for landline users

    On February 6, 2025, the Telecom Regulatory Authority of India (TRAI) recommended a new numbering system for landline users. The proposal suggests moving from the current Short Distance Charging Area (SDCA)-based system to a License Service Area (LSA)-based 10-digit closed numbering format.

    Under this system, all fixed-line to fixed-line calls would require dialing ‘0’ followed by the area code and the subscriber’s number, even for local calls within the same area. TRAI’s proposal aims to eliminate the STD code system and free up unused phone numbers to accommodate the growing demand for telecom identifiers.

    Also read: Indian telecom watchdog takes action against telecom fraud
    Also read: Algerie Telecom participates in the 55th Algiers International Fair

    Why it’s important 

    The proposed numbering system is a significant step toward optimizing India’s telecom infrastructure. With the increasing need for phone numbers due to the growth of mobile and internet-based communication, a streamlined numbering plan will help improve efficiency and resource allocation.

    While the change may require landline users to adjust their dialing habits, it ensures better number management and prepares India’s telecom sector for future technological advancements.

    10-digit dialing India telecom landline numbering STD code removal telecom policy TRAI
    Juno chen

    Juno Chen is an intern reporter at BTW Media. Having studied Media and Data Analytics at the University of Sydney. She specialised in industry insights Contact her at j.chen@btw.media.

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