RADCOM RAN Analytics
Discover Real-Time RAN Insights
One Platform. All Your 5G RAN Needs
Radio Access Network (RAN)
The RAN is the part of a telecommunications system that connects end-user devices, such as smartphones, tablets, or IoT sensors, to the operator’s core network. It acts as the bridge between users and the rest of the network, enabling wireless communication and access to mobile services. A typical RAN consists of radio base stations (such as gNodeBs in 5G or eNodeBs in 4G), antennas, and remote radio units, which transmit and receive radio signals to and from user devices.
These radio-related functions include radio resource management, mobility management, data encryption from devices, session handling, and handover control. The RAN manages the handovers between cells, managing signal strength. It also provides access and coordinates resources across various radio sites. In 5G networks, the RAN supports multiple frequency bands, such as six gigahertz and millimeter wave bands.
Open RAN (O-RAN)
Open RAN (O-RAN) takes a different approach to radio access networks. Using open, standardized interfaces, O-RAN uses hardware and software from multiple vendors, contrasting with traditional RAN deployments, which use complete integrated solutions from a single vendor. This brings greater flexibility, cost efficiency, and innovation to mobile network deployments. Open RAN architectures also leverage intelligent controllers to handle the growing complexity of modern radio technologies and network deployments, particularly important in 5G networks.
Artificial Intelligence RAN (AI-RAN)
Artificial Intelligence RAN (AI-RAN) refers to the integration of artificial intelligence into the radio access network, both in the hardware, software and operational processes. This aims to improve network performance, efficiency and open new opportunities for operators where AI is not just “associated” with RAN but an integral part of the RAN function. AI-driven RAN plays a pivotal role in 5G standalone deployments by automating tasks like traffic prediction, real-time resource optimization, and proactive maintenance. It is also helpful for energy efficiency, spectrum management, and to optimize RAN behavior. AI-RAN can operate in parallel with traditional RAN, supporting additional AI workloads on shared infrastructure.
Optimizing RAN Performance for 5G and Beyond
RADCOM RAN Analytics can analyze all RAN technologies including O-RAN, C-RAN, V-RAN or AI-RAN
RADCOM RAN Analytics
RADCOM RAN Analytics offers critical insights and automated solutions to enhance RAN performance. Leveraging artificial intelligence and machine learning, RADCOM enhances network performance and ensures optimization, whether it is root cause analysis, virtual drive tests, network analysis, route analysis, or roaming assurance. RADCOM’s RAN solutions are vendor-agnostic, monitoring and correlating multiple vendor feeds to significantly reduce the time and effort network engineers spend investigating and resolving technical issues.
RAN Experience Analytics
RAN
AIOps
Benefits
Offers visibility and end-to-end monitoring
RADCOM RAN Analytics, together with RADCOM’s Core Analysis, enables telecom operators to correlate the core data with the RAN data to gain deep subscriber (IMSI-based) insights. These are critical for understanding the real customer experience as they provide hundreds of subscriber-centric metrics and KPIs for end-to-end network optimization and advanced troubleshooting.
Offers deep insights with integrated AIOps capabilities
RADCOM RAN Analytics integrates with RADCOM AIM, that includes artificial intelligence and machine learning (AI/ML) capabilities to smartly analyze and provide real-time automated insights to resolve customer-impacting issues and save engineering resources. These include impact analysis, sleepy cells analysis and identification, capacity forecasting and utilization, and root cause analysis.
Detects root cause of RAN degradations
Engineers gain insights into root causes of RAN degradations through an automated process that monitors and measures quality metrics and detects specific issues. The solution alerts engineers to RAN performance degradations and utilizes decision trees enriched with AIOps to rapidly, automate issue resolution
Integrates with business operating systems
RADCOM RAN Analytics automates and integrates with business operating systems and includes background workflows that interface with platforms like ServiceNow. The solution helps correlate network faults with service assurance subscriber KPIs, identifies the cells with the highest impact, and recommends fixes while prioritizing tasks.
