Network-Adaptive Streaming Apparatus for Dynamic Media Parameter Adjustment
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Solution Overview
Problem
Existing streaming technologies face challenges in providing network-adaptive content, leading to service quality degradation due to varying transmission qualities across different network types, especially when user terminals switch between networks.
Innovation Solution
A non-transitory computer-readable recording medium and apparatus that identify the network type connected to user terminals, setting media transmission parameters for encapsulation and packetization, and transmitting streaming data packets with header information, adjusting parameters such as MPU size, frame rate, and error correction based on the network type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single media transmission parameter is used for all network types, then the system complexity is reduced, but service quality degrades due to varying network transmission qualities
Solution Approach 1:
The patent implements dynamic adaptation by detecting network type and automatically adjusting media transmission parameters (MPU size, frame rate, error correction) according to the detected network conditions. This allows the system to transition from static single-parameter configuration to dynamic multi-parameter adaptation, resolving the contradiction between system complexity and service quality.
Solution Approach 2:
The patent changes transmission parameters based on network type detection. Different network types (3G, 4G, Wi-Fi, wired) trigger different parameter sets including MPU size, frame rate, and error correction levels. This parameter adaptation resolves the contradiction by optimizing service quality for each network type while maintaining manageable system complexity through structured parameter management.
2Reliability
If media transmission parameters are adapted to each network type, then service quality is improved, but device complexity increases
Solution Approach 1:
The patent segments the transmission parameter configuration into distinct sets for different network types (3G, 4G, Wi-Fi, wired). Each network type has its own optimized parameter configuration, which simplifies the management complexity while improving service quality. The segmentation approach allows independent optimization for each network type without creating unmanageable system complexity.
Solution Approach 2:
The system performs automatic network type detection and self-adjusts transmission parameters without requiring manual configuration or complex external control. This self-service mechanism improves service quality through adaptation while minimizing the operational complexity burden on users and system administrators.
3Productivity
If network type detection and parameter adaptation are implemented, then transmission efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent pre-configures optimal transmission parameters for different network types before actual content transmission begins. The system detects network type and retrieves the corresponding pre-prepared parameter set, avoiding complex real-time calculations during transmission. This preliminary action approach improves transmission efficiency while keeping processing complexity manageable.
Data Source
AI summary
The disclosure relates to a computer-readable recording medium having a program recorded therein for providing network-adaptive content and a related apparatus. The disclosure allows streaming content to be provided to a user terminal in view of a difference in transmission quality of communication networks by analyzing a source address of a signaling message transmitted to the user terminal, identifying the type of a communication network accessed by the user terminal, differently setting media transmission parameters for encapsulation and packetization in accordance with the identified network type, and performing encapsulation and packetization in accordance with the set media transmission parameters.


