Now Your Calls Will Never Drop Thanks To Engineers From GNI Telangana

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Now Your Calls Will Never Drop Thanks To Engineers From GNI Telangana

The market will soon be taken by storm as a group of four students developed software addressing call drops in cramped and congested areas. Engineering students, Niranjan Akella, Arumalla Koushik Reddy, Yeseswi Sree Neeli, and Bachu Sai Nikheel of Guru Nanak Institutions Technical Campus in Ibrahimpatnam, Telangana, developed the technology as a final-semester project, and it is now a patent-pending technology that might soon be commercialized. Tech-industry might soon see a major breakthrough that could help telecom companies cut back their compound expenses.

How does the software work?

Based on cluster strength, the software optimizes the orientation of the cellular antenna. The system, in a nutshell, employs software that is installed at the base transmitter station (BTS) and analyses local cluster patterns over the course of a predetermined number of days.

The program then directs the antennae on the cell tower to realign in order to offer the best local coverage after the data has been gathered. The antennas must be equipped with a motorized device that can be used to realign the antennae.

By increasing the signal strength at densely populated areas inside the cell, which in turn lowers the frequency of call drops that are typically observed and eliminates the need to physically operate on a BTS antenna, Akella explained how this automation improves the commercial customer relationship factor of every mobile telecommunication operator, including Jio, Airtel, Vodafone Idea, etc. By automating the entire setup, organizations can save a significant amount in compounded money costs.

Every network carrier can add additional processing technology stacks on top of this solution to increase its robustness because it is adaptable in terms of utility. This implies that telecoms can alter the length of the data collection period after installing the hardware and software.

For example, the software can be configured to gather information on locations that will see a spike in foot traffic before a major event, such as stadiums, malls, city squares, and arenas, and to maintain optimal network coverage when the number of attendees rises. Since the technology stack employed is quite integrable, it can be merged with all currently in use communication tech stacks, according to Akella.

How did the idea come into being?

Akella claimed that the four noticed their own campus experienced numerous call drops when the idea first began to take shape. We had to complete a final semester assignment, therefore we reasoned that it would be wonderful if we could apply AI to tackle this issue.

After the technology was created, the students made the decision to patent it with the assistance of their teachers. A request for examination of the published patent is still pending. The group has had preliminary discussions with telecom providers.