Mavenir Systems‘s patent involves a method for optimizing communication traffic in a Cloud Radio Access Network (CRAN) by analyzing traffic distribution across cell sites and mapping sectors to virtual machines or servers. The system aggregates traffic based on load profiles, enhancing network efficiency. GlobalData’s report on Mavenir Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Mavenir Systems, Cloud gaming was a key innovation area identified from patents. Mavenir Systems's grant share as of January 2024 was 46%. Grant share is based on the ratio of number of grants to total number of patents.
Optimal mapping of communication traffic in cloud radio access network
A recently granted patent (Publication Number: US11882482B2) discloses a method for managing communication traffic in a Cloud Radio Access Network (CRAN)-compatible system. The method involves directing communication traffic from different sectors of specified cell sites to specific virtual machines or servers, aggregating the traffic, and mapping component carriers within the cell sites to the virtual machines or servers. Additionally, an analytics engine in the CRAN network analyzes traffic distribution and loads across multiple cell sites to optimize mapping during different times of the day and utilize spare capacity for non-real-time workloads during low-load conditions.
Furthermore, the method includes handling communication traffic from multiple cell sites with different traffic load profiles, ensuring services are provided according to specified service level agreements (SLAs) stipulating low latency and high throughput. The CRAN network described in the patent is based on Open RAN technology, with the analytics engine integrated as part of a non-real-time radio intelligence controller. The patent also emphasizes the evaluation of traffic load profiles at different cell sites to effectively manage communication traffic within the CRAN-compatible system.
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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.
