Hierarchical JSCC Wireless Data Communication System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless data communication systems, particularly those using joint source channel coding (JSCC) with compression standards like H.265, face challenges with high bit error rates due to signal fading, ghosting, and interference, as well as bandwidth overhead from content-dependent gains.
Innovation Solution
A data communication system employing joint source channel coding (JSCC) with a hierarchical data structure, including a base layer and enhancement layers, allows for dynamic bit-rate control and reduced latency by selectively dropping enhancement layers in response to bandwidth limitations and data errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If joint source channel coding (JSCC) with compression standards like H.265 is used, then bandwidth efficiency is improved, but bit error rate increases due to signal fading, ghosting, and interference
Solution Approach 1:
The encoded bitstream is segmented into multiple layers (base layer and enhancement layers) with different importance levels. The base layer contains essential data for basic video quality, while enhancement layers contain additional data for improved quality. This segmentation allows the system to maintain high bandwidth efficiency by transmitting all layers when conditions permit, while improving reliability by selectively dropping less important enhancement layers when errors occur or bandwidth is limited.
2Power
If content-dependent gain is applied to refinement data, then transmission power is maximized, but bandwidth overhead increases due to gain control messages
Solution Approach 1:
The patent extracts and removes the gain control messages from the transmitted bitstream. Instead of including overhead messages that describe content-dependent gain parameters, the system directly applies the gain to the refinement data without needing to convey the gain information to the receiver. This eliminates the bandwidth overhead while maintaining the power maximization benefits of content-dependent gain.
3Manufacturing precision
If enhancement layers are transmitted to improve image quality, then data quality is improved, but latency increases and retransmission needs increase under bandwidth limitations
Solution Approach 1:
The system dynamically adjusts the number of enhancement layers transmitted based on real-time channel conditions and bandwidth availability. When bandwidth is abundant and channel conditions are good, more enhancement layers are transmitted to maximize image quality. When bandwidth is limited or errors are detected, the system immediately drops enhancement layers to reduce latency and avoid retransmissions. This dynamic adaptation allows the system to optimize the trade-off between image quality and latency/retransmission requirements.
Data Source
AI summary
A data communication system including a least one encoder and one decoder. The encoder encodes a received input signal into encoded output data. The data communication system includes a data communication network coupled to at least one encoder, wherein the data communication network communicates the encoded output data from the encoder to the decoder. The decoder decodes the encoded output data to generate a rendition of the input signal. The system is characterized in that the data communication network is configured to function according to joint source channel coding (JSCC). Moreover, the encoder and the decoder are configured to employ an hierarchical data structure for representing data to be communicated from the encoder to the decoder.