Discover how mobile operators worldwide are leveraging artificial intelligence (AI) and autonomous networks (AN) to drive efficiency, enhance customer experience, and create new revenue streams.
Read the on-demand white paper on the 5G Core Operator Survey conducted by Heavy Reading, produced in collaboration with Mavenir and other key service providers. The white paper explores the services, infrastructure, and operating models driving the deployment and scaling of 5G SA (standalone) core networks.
The advent of 5G marks a significant leap forward in telecommunication capabilities, delivering enhanced throughput, increased capacity, and improved latency. However, the potential of this fifth-generation wireless technology extends far beyond terrestrial confines, expanding into the realm of satellite-based Non-Terrestrial Networks (NTN).
Mavenir trials Microsoft’s Janus Framework powered by Carrier Grade OS AzureLinux to provide customized deployment data and debugging for its Open RANdistributed units (DUs).
This white paper delves into the realm of AI and ML Innovations within the Open vRAN architecture, spotlighting the RAN Intelligent Controller (RIC) and its pivotal role in optimizing network performance.
This whitepaper explores how Open vRAN allows operators to build their networks with increased resiliency and energy efficiency.
This whitepaper explores how CSPs can successfully optimize their network investments by extending wireless coverage and voice service reach using available private and public Wi-Fi networks.
Recent trials in live networks by ABI Research have demonstrated that a non-RT RIC rApp for switching radios ‘on and off’ can provide as high as 15% to 20% gain.
KPIs to enable Operators to measure and manage their progress towards alignment with sustainability goals are detailed by Next Generation Mobile Network (NGMN) Alliance in its February 2023 report.
This white paper examines the implementation aspects of cloud-native virtualized Open RAN systems powered by Intel x86-based commercial servers and containerized and highly optimized RAN software developed by Mavenir and Intel, as well as strategies and technologies that are incorporated or are under development to optimize the overall system power consumption and to ensure energy efficiency across various network components and the network are described.
