Network Function Entity Video Transmission Adaptation
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Solution Overview
Problem
The 4G/5G network performance is limited by factors such as base station overload, interference, and resource insufficiency, leading to stuck or interrupted video playback, which affects user experience.
Innovation Solution
A network function entity acquires status information related to data transmission links and adjusts video data transmission accordingly, including reducing video data size, reestablishing links, and optimizing resource allocation, to ensure smooth video playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the base station processes video data at maximum network capacity, then the network throughput is improved, but the system becomes unstable and video playback may be stuck or interrupted when overload occurs
Solution Approach 1:
The network function entity proactively monitors network status information and predicts potential overload conditions before they occur. When prediction indicates possible overload, the entity pre-adjusts video data transmission parameters (such as reducing bitrate or changing codec) to prevent playback interruptions, rather than reacting after the problem occurs.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the network function entity continuously monitors network status information including base station load, channel quality, and resource availability. Based on this feedback, the entity dynamically adjusts video data transmission parameters to maintain stable playback while maximizing throughput under current network conditions.
2Speed
If the base station schedules more data transmission resources, then the video data transmission speed is improved, but the resource scheduling becomes insufficient for other users and overall system performance degrades
Solution Approach 1:
The network function entity applies different processing strategies to different video data packets based on local network conditions. Instead of uniformly increasing transmission resources for all users, the entity selectively adjusts parameters for specific video streams experiencing quality issues, allowing other users to maintain their allocated resources without interference.
Solution Approach 2:
The system dynamically changes video data parameters (bitrate, resolution, codec type) based on network conditions rather than changing physical transmission resources. This allows the system to adapt video quality to available bandwidth without committing additional scheduling resources, maintaining flexibility for other users while ensuring acceptable playback quality.
3Productivity
If the network function entity processes video data to reduce size, then the transmission efficiency is improved, but the video quality may be degraded
Solution Approach 1:
The network function entity dynamically adjusts video processing parameters based on real-time network status information. When network conditions are good, the entity processes video data with higher quality settings. When network conditions deteriorate, the entity increases compression to maintain playback continuity. This dynamic adaptation allows the system to optimize both transmission efficiency and video quality according to current network capabilities.
Data Source
AI summary
Certain example embodiments relate to a network function entity and/or a wireless communication method thereof and a storage medium. Specifically, for example, a wireless communication method may be performed by a network function entity in a wireless network. The wireless communication method may include: acquiring status information related to a data transmission link during a process of video data transmission between a user equipment and a server via the wireless network; and performing an operation to adjust the video data transmission between the user equipment and the server according to the status information.