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New-generation network solutions that help you differentiate your mobile services and utilize network resources efficiently

International Standard Compliance

Flexible and scalable solutions as they comply with 3GPP standards and provide interoperability with diverse operators (LTE and 5G NSA supported; 5G SA to be supported).

Flexible Policy Enforcement

Flexible enforcement of QoS policies in real time by using diverse policy event sources and dynamic policy rules and easy to combine with existing policies easily.

Real-Time Traffic Management

Protection of operators’ core networks by analyzing network traffic with real-time traffic control capabilities and controlling traffic with various conditions.

Policy and Charging Control
QoS and charging control solution for efficient network resource management
NTELS Policy and Charging Control (PCC) is a flexible and dynamic policy management and charging solution that enables operators to control quality of service (QoS) for subscribers and network resources as well as to charge for that control using the standard PCC architecture by 3GPP for LTE and 5G networks.
As the demand for mobile data services increases rapidly and competition between operators is intense, operators need PCC to make real-time policy decisions over subscriber access to network resources, which will lead to differentiation of their services.
Deep Packet Inspection (DPI)
Network optimization solution through fixed & mobile traffic analysis and control
NTELS Deep Packet Inspection (DPI) is a traffic management solution to analyze and control protocols and applications being sent over the network by inspecting both the header and payload of a packet in the application layer (Layer 7).
The solution is capable of interfacing with PCEF (Policy and Charging Rule Enforcement Function) via Gx, TDF (Traffic Detection Function) via Sd, OCS via Gy, and OFCS via Rf+. Using these protocols, it allows you to look deeper into the packet to identify its application and mission and the extracted information is used to improve network efficiency and reduce network complexity.
Network Service Exposure
Network-as-a-service platform solution for virtual network functions
NTELS Network Service Exposure is an integrated solution of SCEF (Service Capability Exposure Function) and MTC-IWF (Machine Type Communication-Interworking Function) defined by 3GPP.
The solution provides the means to securely expose network service capabilities to be used by IoT applications. It helps extend the core network with dedicated functionality to connect a massive number of IoT devices (massive IoT) and support mission-critical IoT that requires ultra low latency and high reliability. It also protects the core network through traffic and authorization management and generates charging data for use of network services.
Real-Time Convergent Charging
5G-ready, real-time charging solution
NTELS Real-Time Convergent Charging is a comprehensive charging solution that seamlessly integrates all online and offline charging processes in a 5G network. The solution processes charging data in real time using its event-driven architecture. It provides rule-based product management function so that operators can quickly roll out their products to the market and the rule-based engine to enforce charging policies easily without source modification. In a network slicing environment where a single network is divided into multiple virtual networks, our solution can enforce different charging rules for different network slices, as necessary.
Intelligent Traffic Management (ITM)
Network congestion detection and QoE control solution
NTELS Intelligent Traffic Management (ITM) is a congestion detection and control solution. The solution detects network congestion based on subscribers’ data usage aggregated per cell. If there is a congested network, it identifies heavy-traffic subscribers in real time and controls the QoS of those subscribers while maintaining QoE of other subscribers. The solution uses a cell clustering method that forms a cluster of cells with similar characteristics and performs dynamic cell clustering to match traffic patterns and control according to each cluster pattern.
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