Adaptive Bit Rate Control for Power Efficient Video Streaming
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Solution Overview
Problem
Real-time video transmission over unreliable communication networks faces issues such as image quality degradation due to bandwidth fluctuations, packet losses, and power inefficiency, particularly when the transmission rate exceeds available network bandwidth.
Innovation Solution
The implementation of an adaptive bit rate control system in video transmission systems that adjusts the bit rate of video packets based on network and video parameters, such as propagation delay, packet loss rate, and available bandwidth, while also optimizing transmission power using a sending controller with components like a bit rate controller, traffic smoother, and transmission power adapter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the transmission rate is increased to improve video quality, then image quality is improved, but power consumption increases and network reliability deteriorates
Solution Approach 1:
The system dynamically adjusts the transmission bit rate based on real-time network conditions and buffer states. The bit rate controller continuously monitors network parameters (bandwidth, delay, packet loss) and video buffer status, then adapts the encoding bit rate accordingly. This dynamic adjustment allows the system to maintain high image quality when network conditions permit while reducing power consumption when conditions deteriorate.
Solution Approach 2:
The invention changes the transmission parameter (bit rate) as a control variable to optimize the trade-off between image quality and power consumption. By varying the bit rate parameter based on network conditions and buffer fill levels, the system achieves power-efficient video streaming while maintaining acceptable image quality. The traffic smoother further refines this by controlling packet transmission timing based on bit rate adjustments.
2Manufacturing precision
If the transmission rate is increased to improve video quality, then image quality is improved, but network reliability deteriorates due to packet losses and bandwidth constraints
Solution Approach 1:
The system implements feedback control by monitoring network conditions (bandwidth, delay, packet loss rate) and buffer states, then using this information to adjust the transmission bit rate. The bit rate controller receives feedback about network performance and buffer fill levels, and continuously adapts the encoding rate to maintain reliable transmission. This closed-loop control prevents packet loss by reducing bit rate when network conditions deteriorate.
Solution Approach 2:
The transmission system dynamically adapts to changing network conditions by adjusting the bit rate in real-time. Rather than using a fixed high bit rate that would cause packet loss, the system continuously monitors network reliability metrics and adjusts the transmission rate accordingly, maintaining optimal balance between image quality and transmission reliability.
3Use of energy by moving object
If adaptive bit rate control is implemented to reduce power consumption, then power efficiency is improved, but device complexity increases
Solution Approach 1:
The bit rate controller serves multiple functions: it monitors network conditions, estimates available bandwidth, adjusts encoding bit rate, and provides feedback to the traffic smoother. By consolidating these control functions into a single multi-functional component, the system achieves power-efficient adaptive rate control without proportionally increasing device complexity. The transmission power adapter similarly integrates multiple power management functions.
Solution Approach 2:
The adaptive bit rate control system is self-regulating, automatically adjusting transmission parameters based on monitored conditions without requiring external intervention. The bit rate controller autonomously monitors network state and buffer levels, then adjusts the encoding rate accordingly. This self-service capability reduces the need for complex external control systems while maintaining power efficiency.
Data Source
AI summary
A system includes an image sensor and a sending controller. The image sensor to generate video data at a source bit rate. The sending controller is coupled to the image sensor to transmit communication data representative of the video data. The sending controller includes one or more processors coupled to memory. The memory includes instructions, which when executed by the sending controller causes the system to perform operations. The operations include determining a first bit rate to encode a first portion of the video data, generating a first video packet representative of the first portion by encoding the first portion at the first bit rate, and determining whether to transmit the first video packet as the communication data with the sending controller based on at least one of a transmission rate threshold, a transmission interval threshold, or a buffer fill threshold.