Hyperfine Network Slicing for 5G Edge Latency and Security
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Solution Overview
Problem
Current 5G network slicing technologies face challenges in providing secure, efficient, and latency-reduced data transmission between User Equipment (UE) and Multiaccess Edge Compute (MEC) devices, particularly when data does not need to traverse the cloud, leading to inefficiencies in privacy and cost management.
Innovation Solution
A cloud-based system integrated within the 5G network that offers hyperfine network slicing by providing inline monitoring, zero-trust security, and bandwidth control, using enforcement nodes and a central authority to manage traffic and enforce policies across various interfaces, ensuring secure and efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transmitted through the cloud for security monitoring, then security control is improved, but network latency increases
Solution Approach 1:
The patent segments network traffic into different slices with distinct security requirements. Critical latency-sensitive traffic receives localized security enforcement at the edge, while less time-critical traffic undergoes comprehensive cloud-based inspection. This segmentation allows security monitoring to be applied selectively rather than uniformly to all traffic flows.
Solution Approach 2:
The patent introduces edge computing nodes as intermediaries between the core network and end devices. These edge nodes provide localized security enforcement capabilities, acting as mediators that can handle time-critical security decisions locally without requiring all traffic to traverse the full cloud path, thereby reducing latency for security operations.
2Reliability
If network slicing is implemented to provide dedicated resources, then quality of service is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal slicing framework where a single set of mechanisms and protocols can create multiple different slice types (e.g., enhanced mobile broadband, ultra-reliable low-latency, massive IoT). This multi-functional approach allows the same infrastructure to serve diverse QoS requirements without requiring separate complex configurations for each service type.
Solution Approach 2:
The patent utilizes parameter-based slicing where different QoS requirements are achieved by modifying network parameters (bandwidth allocation, latency thresholds, priority levels) rather than creating fundamentally different network architectures. This allows flexible QoS adjustment through parameter tuning within a unified slicing framework.
3Loss of time
If cloud-based security services are deployed at the edge, then security response time is improved, but infrastructure cost increases
Solution Approach 1:
The patent applies local quality by deploying security enforcement capabilities specifically at edge locations where they are most needed for low-latency response, rather than uniformly distributing all security functions across the entire network. This localized approach concentrates infrastructure resources at strategic points to achieve security response time improvements without proportionally increasing overall infrastructure costs.
Solution Approach 2:
The patent implements partial deployment of cloud-based security services at the edge, focusing resources on the most critical security functions and traffic flows that require low-latency enforcement. Rather than deploying complete cloud security stacks at every edge location, the system applies security functions selectively to the extent necessary to achieve response time improvements.
Data Source
AI summary
A method implemented via a cloud-based system for network slicing in a 5G network includes connecting with a device that connects to the 5G network, wherein the cloud-based system includes a plurality of nodes interconnected to one another and including one or more nodes integrated in a user plane of the 5G network; inline monitoring traffic between the device and destinations including any of the Internet, cloud services, private applications, edge compute, Multiaccess Edge Compute (MEC), public/private data centers, and public/private clouds; and enforcing bandwidth control, in the 5G network, to a defined Quality of Service for a slice associated with the device.