LTE Private Network Optimization Platform Traffic Classification
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Solution Overview
Problem
Conventional utility communication networks face challenges in configuring network coverage, traffic prioritization, and latency requirements when transforming from dedicated point-to-point models to shared resource models like LTE, particularly in managing diverse data types with different requirements, such as phase measurement units and SCADA monitoring data, which complicates the addition of new services and requires costly reconfiguration.
Innovation Solution
A network optimization platform that classifies data traffic based on Quality of Service (QoS) and latency requirements, selects appropriate bearers, and prioritizes packets, eliminating the need for manual configuration changes and reducing human error, by using a comprehensive edge traffic control and Lifecycle Service Orchestration framework to streamline the deployment of additional services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traffic engineering and network reconfiguration are performed to add new services, then network capacity and service functionality are improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent pre-configures QoS parameters, bearer profiles, and traffic routing rules before services are deployed. The network operator defines traffic classification criteria and priority levels in advance, allowing new services to be activated without real-time network reconfiguration. This preliminary setup eliminates the need for complex on-demand network engineering when new services are introduced.
Solution Approach 2:
The patent implements automated service provisioning where the network automatically classifies traffic, selects appropriate bearers, and configures routing based on predefined policies. The system self-adjusts resource allocation and priority settings without requiring manual intervention from network operators or service providers, thereby reducing operational complexity while maintaining service adaptability.
2Adaptability or versatility
If manual configuration changes are made for new services, then service customization is achieved, but human error and configuration time increase
Solution Approach 1:
The patent establishes predefined service templates and configuration profiles that capture common service requirements in advance. When a new service is deployed, the system automatically matches the service against existing templates and applies the corresponding pre-configured parameters, eliminating the need for manual configuration and significantly reducing deployment time while maintaining customization capabilities.
Solution Approach 2:
The patent implements automated service provisioning where the network automatically classifies traffic, selects appropriate bearers, and configures routing based on predefined policies. The system self-adjusts resource allocation and priority settings without requiring manual intervention from network operators or service providers, thereby reducing operational complexity while maintaining service adaptability.
3Quantity of substance
If LTE network capacity is increased with additional eNB sites, then network coverage and capacity are improved, but deployment cost and complexity increase
Solution Approach 1:
The patent implements dynamic resource allocation where the LTE network automatically adjusts bearer priorities, bandwidth allocation, and traffic routing based on real-time service requirements and network conditions. This dynamic management allows the network to optimize capacity utilization without adding physical infrastructure, as the system adapts resource distribution through software-controlled QoS parameters rather than hardware expansion.
Solution Approach 2:
The patent changes operational parameters such as QoS class identifiers, bearer QoS characteristics, and traffic priority levels to manage network capacity. By adjusting these software-defined parameters, the network can accommodate additional services and traffic loads without physically deploying new eNB sites, thereby increasing capacity while avoiding the complexity and cost of infrastructure expansion.
4Ease of operation
If traffic prioritization is configured at IP layer, then routing decisions are simplified, but QoS control and latency management become insufficient
Solution Approach 1:
The patent extends QoS control from the IP layer to the LTE bearer level, adding a new dimension of traffic management. Instead of relying solely on IP-layer prioritization, the system implements bearer-level QoS parameters including QCI (QoS Class Identifier), ARP (Allocation and Retention Priority), and dedicated bearer configurations. This layered approach combines IP routing simplicity with LTE-specific QoS mechanisms, achieving both ease of operation and reliable QoS control simultaneously.
Data Source
AI summary
A network optimization platform, comprising: storage configured to store QoS and latency requirement for a plurality of applications, protocols associated with various data traffic generated by the plurality of applications; a processor configured to execute communication applications, the communication applications configured to cause the processor to: receive data traffic from the plurality of applications, classify the data traffic based on at least one of the QoS and latency requirement associated with the plurality of applications, determine a priority for packets comprising the data traffic, select a bearer for the packets based on the classification and priority, and deliver the packets to the bearer selected therefore.