Tejas Networks has developed a system and method for efficiently switching User Equipment (UEs) from unicast to broadcast/multicast mode for streaming media content delivery. The system includes an analytics engine, database, and offload core to optimize content delivery based on real-time data analysis. GlobalData’s report on Tejas Networks gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Tejas Networks, Network traffic analysis was a key innovation area identified from patents. Tejas Networks's grant share as of February 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.

System for switching ues from unicast to broadcast/multicast for streaming media

Source: United States Patent and Trademark Office (USPTO). Credit: Tejas Networks Ltd

A recently granted patent (Publication Number: US11895530B2) discloses a system for efficiently switching User Equipment (UE) from unicast mode to broadcast or multicast mode to transmit streaming media content. The system includes a database for storing real-time and historical data, an analytics engine for analyzing data to identify UEs receiving content through unicast mode, and a one-to-many offload core for scheduling content transmission based on available bandwidth. The system also features a real-time switching module that switches UEs to broadcast or multicast mode based on triggers from the offload core. Additionally, the analytics engine can prioritize UEs for supplemental downlink delivery if certain content is unsuitable for broadcast or multicast mode, and can predict future congestion possibilities based on historical data.

Furthermore, the system allows for cluster pruning to optimize offloading decisions, with the analytics engine estimating user behavior and network congestion reduction. Users can specify threshold levels and rules through a Domain Specific Language (DSL) to customize the system's behavior. The analytics engine also performs switching benefit analysis in different modes (continuous, periodic, event) to enhance network efficiency. The system's real-time switching module includes components like an interface manager, buffer manager, and processing engine to facilitate seamless content delivery. Overall, the patented system offers a sophisticated approach to managing content delivery modes based on real-time data analysis and user behavior prediction, ultimately improving network performance and user experience.

To know more about GlobalData’s detailed insights on Tejas Networks, buy the report here.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.