Wireless Network Flow Index for Bandwidth Regulation
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Solution Overview
Problem
Conventional bandwidth regulation methods in wireless networks rely on a best-effort paradigm, leading to increased congestion and latency, as they fail to provide the necessary precision for seamless user experiences, especially in scenarios with multiple applications requiring different priority levels.
Innovation Solution
The method involves creating a 'flow index' at the electronic device using AI models to determine the type and priority of data transmission flows, which is then transmitted to the network device for intelligent bandwidth regulation, ensuring that high-priority flows receive adequate resources while low-priority flows are managed efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional best-effort bandwidth regulation methods are used, then device complexity is reduced, but network congestion increases and latency increases
Solution Approach 1:
The system performs preliminary classification of data flows into categories (e.g., interactive, streaming, background) before transmission based on flow indices. This advance categorization enables the network to pre-allocate bandwidth resources according to predicted needs, reducing actual transmission latency without requiring complex real-time regulation mechanisms.
Solution Approach 2:
Flow indices act as intermediaries between applications and network resources. These indices carry classification information that mediates bandwidth allocation decisions, allowing simple best-effort mechanisms to achieve differentiated service quality without complex regulation logic at each network node.
2Productivity
If intelligent bandwidth regulation based on flow classification is implemented, then network throughput increases, but device complexity increases
Solution Approach 1:
The bandwidth regulation function is segmented into distributed flow classification at electronic devices and simple resource allocation at network devices. Each electronic device independently classifies its own flows using flow indices, while network devices apply simple allocation rules based on these indices, avoiding the need for complex centralized regulation while achieving high throughput.
Solution Approach 2:
Electronic devices perform self-service flow classification and mark their own data packets with appropriate flow indices. This self-classification capability eliminates the need for complex network-side analysis and regulation mechanisms, enabling high throughput through simple, distributed decision-making.
3Reliability
If flow priority classification is applied, then time-sensitive application performance improves, but measurement precision requirements increase
Solution Approach 1:
The system changes the parameter used for flow identification from detailed application-level analysis to coarse-grained flow index categories. By transforming flow characteristics into discrete priority levels (e.g., high, medium, low) rather than requiring precise application identification, the system achieves reliable time-sensitive performance without demanding high measurement precision.
Solution Approach 2:
Different precision levels are applied locally to different flow types. Time-sensitive flows receive high-priority handling with simplified classification, while less critical flows use standard classification. This localized quality approach ensures reliable performance for critical applications without requiring uniform high precision across all flows.
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The method comprises: receiving a flow index corresponding to a plurality of applications available at an electronic device, wherein the flow index represents a type of the flow, and a priority of the flow; determining whether connection for the data transmission exists between the electronic device and an internet server based on the flow index; performing one of regulating the flow based on the flow index in response to determining that the connection for the data transmission exists between the electronic device and the internet server, and discarding the flow index received from the electronic device for regulation of the flow in response to determining that the connection for the data transmission does not exists.