Intelligent Edge Routing for Latency Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current telecom networks lack efficient routing capabilities at Base Nodes and Packet Gateways, leading to high latency, increased bandwidth requirements, and inadequate data privacy and security, which hinders the ability to support bandwidth-intensive applications and a growing number of connected devices.
Innovation Solution
Introducing an intelligent routing module at Base Nodes and Packet Gateways that parses and processes data packets to determine the fastest route, reduces latency, and enhances security by enabling local data processing and storage, thereby empowering nodes to make routing decisions and handle requests efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data packets are routed through multiple intermediate nodes in the telecom backhaul network, then data can reach the destination service server, but latency increases and data transport time is extended
Solution Approach 1:
The patent segments the routing decision-making process by introducing intelligent edge computing nodes at the base station level, separating routing decisions from the core network. This allows local routing decisions to be made at the edge, reducing the number of intermediate nodes data packets must traverse and thereby reducing latency and data transport time.
Solution Approach 2:
The patent introduces an intelligent edge computing node as an intermediary between the base station and the core network. This intermediary performs local routing decisions and data processing, acting as a mediator that reduces the burden on the core network and minimizes the number of hops data packets must make, thus reducing overall latency.
2Reliability
If base nodes and packet gateways are equipped with intelligent routing capabilities, then routing efficiency and data privacy are improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent implements a universal intelligent edge computing platform that can be deployed at base stations and packet gateways. This platform provides multi-functional capabilities including routing decisions, data processing, caching, and security functions, allowing a single infrastructure to serve multiple purposes and reduce overall system complexity despite adding intelligence to multiple nodes.
Solution Approach 2:
The patent uses virtualization to create virtual copies of routing and processing functions across multiple edge nodes. Instead of requiring complex hardware upgrades at each node, the system uses software-based virtual instances that can be replicated and distributed, reducing physical infrastructure complexity while maintaining routing efficiency and reliability.
3Quantity of substance
If data is processed and stored at edge nodes, then bandwidth requirements are reduced and data privacy is enhanced, but additional computing and storage resources are required at the base node
Solution Approach 1:
The patent implements preliminary action by performing data processing, filtering, and caching at the edge nodes before data needs to be transmitted through the core network. This advance processing reduces the volume of data that requires bandwidth-intensive transmission, while the computing and storage resources are localized at edge nodes, distributing the burden rather than concentrating it.
Solution Approach 2:
The patent applies local quality by enabling each edge node to perform computing and storage functions locally based on its specific needs and capabilities. This distributed approach allows bandwidth reduction through local data handling while avoiding the need for uniform, high-capacity resources at every node, as each node can be optimized for its local requirements.
4Adaptability or versatility
If conventional base nodes are upgraded with routing, computing and storage functionalities, then edge computing capabilities are achieved, but manufacturing complexity and upgrade costs increase
Solution Approach 1:
The patent implements dynamics by using software-defined networking and virtualization to provide routing, computing, and storage functionalities. Instead of requiring permanent hardware upgrades, the system uses dynamic software configurations that can be deployed, updated, and removed without physical changes to the base node infrastructure, greatly easing manufacturing and upgrade complexity.
Solution Approach 2:
The patent replaces mechanical/hardware-based routing and processing systems with software-based implementations. By substituting physical routing hardware with software-defined routing functions and replacing dedicated processing hardware with virtualized computing resources, the system achieves edge computing capabilities without complex hardware upgrades, significantly reducing ease of manufacture concerns.
Data Source
AI summary
The present disclosure provides Edge solution that can introduce/incorporate certain intelligence at the Base Node or PGW/UPF to take decision by routing the requests originating from UE. Embodiments of the present disclosure relate to a method that includes parsing of Data-Packet from UE at Base Node or PGW/UPF; Storage of Configuration parameters at Base Node or PGW/UPF and Execution of Routing algorithm at Base Node or PGW/UPF. The disclosure further provides solution as architectures of Intelligent Routing Ability involving base-node or PGW, wherein the routing ability is achieved at Base Node or PGW/UPF with required configuration, routing decision etc., stored at Base Node or PGW/UPF itself and includes Parsing of data packets coming from user equipment (UE) to Base Node or PGW/UPF to find source and destination address or IP, Storage of possible alternate destination information for desired services/application/content in “local configuration file” at Base Node or PGW/UPF.