Heterogeneous Network Data Distribution via Operator Server Control

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Solution Overview

Problem

Current data distribution methods in heterogeneous networks, such as those combining cellular and WLAN, face challenges in network selection and data distribution optimization due to variability in user terminals and static policies, leading to suboptimal network performance and management difficulties for operators.

Innovation Solution

A data distribution method and device that collect cellular and WLAN access identification and status information to dynamically determine and guide data package distribution to WLAN networks, using a centralized control point to ensure optimal data routing based on operator policies and real-time network conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If user terminals autonomously select networks and distribute data based on local policies, then user autonomy and network selection flexibility are improved, but network performance optimization and operator control deteriorate

Engineering Contradiction:
Improveuser autonomy in network selectionVSAvoidnetwork performance optimization
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent introduces an operator server as an intermediary between user terminals and multiple networks. The server collects terminal capabilities, network status information, and policy requirements, then autonomously generates optimized data distribution policies. This mediator resolves the contradiction by maintaining user autonomy in network selection while centralizing performance optimization and control functions in the operator server.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements continuous feedback loops where the operator server collects real-time network status information and terminal behavior data, analyzes performance metrics, and dynamically adjusts data distribution policies accordingly. This feedback mechanism ensures network performance optimization while preserving user autonomy, as policies are continuously refined based on actual network conditions and user needs.

Inventive Principle:
Principle #23Feedback

2Reliability

If data distribution policies are centralized and dynamically adjusted by operator server, then network performance and operator control are improved, but system complexity and information processing requirements deteriorate

Engineering Contradiction:
Improveoperator control over data distributionVSAvoidcentralized control system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the centralized control system into distinct functional modules: information collection module, policy generation module, and policy execution module. The operator server collects specific types of information (terminal capabilities, network status), processes them separately to generate policies, and distributes them to appropriate terminals. This segmentation reduces system complexity by organizing functions into manageable, independent components.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The operator server is designed as a universal platform that handles multiple functions: collecting information from diverse terminals and networks, analyzing various performance metrics, generating different types of data distribution policies, and managing multiple networks simultaneously. This multi-functionality consolidates complexity into a single versatile system rather than requiring separate specialized systems for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If user terminals collect and process extensive network information autonomously, then network selection intelligence is improved, but terminal device complexity and energy consumption deteriorate

Engineering Contradiction:
Improveintelligent network selection capabilityVSAvoidterminal energy consumption
Core Design Contradiction:
Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent extracts the complex information processing and policy generation functions from user terminals and relocates them to the operator server. Terminals only need to collect basic network status information and transmit it to the server, which then performs the intensive analysis and generates optimization policies. This extraction dramatically reduces terminal energy consumption while maintaining intelligent network selection capabilities through server-side processing.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

Instead of having terminals autonomously process extensive network information and make intelligent decisions, the system inverts the approach: terminals collect minimal information and receive intelligent policy decisions from the operator server. This inversion transfers the computational burden from energy-constrained terminals to the power充足的 operator server, reducing terminal energy consumption while preserving adaptability.

Inventive Principle:
Principle #13The other way round (Inversion)

4Productivity

If multiple networks are available for user terminal access, then network capacity and service diversity are improved, but network selection complexity and data distribution management deteriorate

Engineering Contradiction:
Improvenetwork capacity and service diversityVSAvoidnetwork selection and data distribution management
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The operator server acts as an intermediary management system between user terminals and multiple available networks. It collects information about various networks (cellular, WLAN, WiMAX, etc.), analyzes their status and capabilities, and generates optimized data distribution policies that automatically route traffic across appropriate networks. This mediator simplifies network selection and data distribution management while enabling utilization of multiple networks for enhanced capacity and service diversity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system dynamically changes distribution policy parameters based on network conditions, terminal capabilities, and service requirements. The operator server adjusts data distribution strategies by modifying parameters such as routing preferences, bandwidth allocation, and network selection criteria in response to changing network status information. This parameter-based control enables flexible management of multiple networks without increasing system complexity.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9516685B2Data distribution method, data distribution device and heterogeneous network
Publication Date: 2016.12.06 CHENGDU SKSPRUCE TECH
  • US9516685B2 patent drawing
  • US9516685B2 patent drawing
  • US9516685B2 patent drawing

AI summary

The present invention relates to the field of communication technology, and particularly to a data distribution method, a data distribution device and a heterogeneous network. The data distribution method comprises: obtaining, via a data distribution device, cellular network access information and wireless local area network access identification information of a user terminal; obtaining, via the data distribution device, cellular network status information and wireless local area network status information; and judging, in combination of the obtained information and distribution policy, that downlink service is required to be distributed to a wireless local area network by the data distribution device, and guiding a data package in the downlink service needed to be distributed, to be distributed to the wireless local area network and transmitted to the user terminal. The present invention achieves the data distribution controlled dynamically by operator network side, and at the same time effectively avoids the risk of uncontrollable performance of the user terminal caused by the variety of the user terminals.