^Richardson, Texas, Feb. 28, 2025 (Globe Newswire) – Mavenir, the provider of
Cloud-native network infrastructure that designs the future of networks,
today gave a groundbreaking achievement with its full stack ki framework
Network Intelligence as a Service (Niaas)
(https://www.mavenir.com/portfolio/mavscale/ai-analytics/network-intelligence-
AS-A-Service-Niaas/) known. For the first time, control and optimize worldwide
Deep Reinforcement Learning (RL)-based live AI agent-an integral
Part of the Niaas of Mavenir-Autonomous 5G-Non-Standalone networks (NSA)
and ensure an increase of over 40 % in the most important ones
Performance indicators (KPIS) in relation to mobility in radio access networks
(Ran). The significant increases in performance were also cost -efficient
Niaas in the field only on CPUs and not on GPUs. Niaas, that in Mavenirs
Intelligent controller (RIC) is hosted, these milestones in live open
RAN implementations for two animal 1-NSA operators in South Asia, whereby
Each implementation of more than 25 locations and more than 100 LTE and new radio
Cell cells (No.).
Mavenir’s Niaas is the first AI ability of one
Telecommunications company for a large-scale open ran company and
Has the rate of unstable handover (including mobility ping pongs, too late
Handover, too early handover, radio connection failures and handover with false
Cell) by 40 % to 60 % for the total KPI and individual KPI components
reduced and thus the mobility stability of 4G/5G mobile radio participants in
improved the live networks.
? We are enthusiastic that we with our innovative Niaas that the company
revolutionized by telecommunications networks, in which the industry are leading, “said BG
Kumar, President, Access Networks, Platforms, and Digital Enablement
Mavenir.
are oriented and no guarantee for a noticeable improvement in the target
Bidding KPIs in the field is our AI-Native Niaas KPI-centered and extracted
Increasing information about the KPIs from cell to cell, from location too
Location and from market to market and optimize exactly the factors that the KPIs
influence in the live network. This success underlines our commitment to
the use of top technologies and our internal know-how at the
Development, innovation and design of the latest KI/ML models to
Network performance and the customer experience to improve noticeably, “continued Kumar.
With a view to the future, Mavenirs Niaas will be on the consistent
Improvement of other operational telco-KPIs, such as connectivity, concentrate
Cover, traffic management, accessibility, sustainability, traffic quality,
Efficiency and Capex/Opex. Although Niaas in Mavenir Ric ran
Implementations are hosted, it is also an independent telco-
Intelligence ability offered for other areas (such as packet core, IMS etc.).
In addition, Niaas is not only limited to Telko-Ki functions in
To offer markets with Mavenir network functions (NFS), but also in markets
with NFS from third -party providers.
Mavenir Niaas thus places a significant leap forward in the area of the
Live telecommunications AIOPs and offers operators AI-native tools to
Increasing network efficiency, reducing operating costs and a
to offer excellent service quality. While the
Telecommunications industry is constantly being developed, Mavenir remains at the top
the innovation and is committed to the limits of what with Ki/ml-
Technologies are possible to expand.
Mavenirs Niaas includes a state-of-the-art AI suite with Mavenir developed
Deep-RL-KI agent that are combined with transfer learning to
To control and optimize mobility offset across LTE cells autonomously
And to reduce the network width of unstable handover. These Deep-RL-KI agents for
The optimization is largely made by other agents and models in the full
Stack-Ki Suite supported by Niaas. For example, AI causes and
Explanation models in the identification and quantification of the causes of
unstable handover and deterioration in mobility indicators, and
Data cluster and classification models help with the correlation of
Radio frequency, mobility, traffic and other observation patterns over
Cells and time to evaluate the net effect. The Deep-RL AI agents
Take these factors into account and optimize the mobility thresholds
independently on site.
About Mavenir
Mavenir is already building the future of networks with cloud-based, ki-
capable solutions that are environmentally friendly and it
Survivors enable the advantages of 5G to use and intelligent,
to implement automated and programmable networks. As a pioneer of the
Open and proven industry designers ensure the award -winning solutions
From Mavenir for automation and Monetarization In mobile network networks worldwide
and accelerate the transformation of software networks for
300 communication service providers in over 120 countries that have more than 50 % of the
serve worldwide subscribers. You can find more information at
www.mavenir.com (http://www.mavenir.com/)
Meet Mavenir at the Mobile World Congress 2025, Barcelona, 3. to 6.
March 2025. (Https://www.mavenir.com/mwc-2025/)
To learn more about Mavenir’s current innovations and
Find out how Mavenir defines the future of the networks, visit
us today – Hall 2 (Stand 2H60), #MWC25.
Mavenir PR contact:
Emmanuela Spiteri
[email protected] (mailto: [email protected])
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