Multi-Radio ALNC Audio Transmission for Low-Latency TV Sync
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Solution Overview
Problem
Existing wireless audio systems face challenges in achieving low latency due to high computational costs, leading to incompatibility with low latency televisions and poor audio-video synchronization.
Innovation Solution
The use of Alphabet Linear Network Coding (ALNC) with a multi-radio architecture, where data is encoded using linear combinations of symbol sets and transmitted over multiple channels, allowing for robust and scalable audio transmission with reduced latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional wireless audio transmission methods are used, then audio can be transmitted wirelessly, but latency is high due to computational costs
Solution Approach 1:
The system pre-computes and stores encoding matrices and their inverses in lookup tables before transmission. This preliminary preparation eliminates the need for complex real-time matrix operations during transmission, reducing latency while maintaining robust error correction capabilities
Solution Approach 2:
The patent replaces complex real-time computational operations with pre-computed lookup table queries. By substituting mechanical computation with table lookups, the system achieves low latency without requiring high computational resources during transmission
2Adaptability or versatility
If high latency audio systems are used, then computational resources are reduced, but compatibility with low latency televisions is lost
Solution Approach 1:
The system dynamically adapts to different television latency characteristics by using ALNC encoding that can operate at low latency. The multi-radio architecture and pre-computed lookup tables enable the system to adjust transmission parameters in real-time, ensuring compatibility with both low and high latency televisions
Solution Approach 2:
The patent changes key transmission parameters including using Alphabet Linear Network Coding with pre-computed matrices, implementing multi-radio architecture, and utilizing hardware acceleration. These parameter changes enable the system to achieve low latency operation that is compatible with modern low latency televisions
3Reliability
If robust error correction is implemented, then transmission reliability is improved, but computational complexity increases
Solution Approach 1:
Encoding matrices and their inverses are pre-computed and stored in lookup tables before transmission. This preliminary action enables robust error correction through simple table lookups during transmission, maintaining high reliability without increasing real-time computational complexity
Solution Approach 2:
The system creates pre-computed copies of encoding matrices and their inverses in lookup tables. These copied structures enable rapid error correction operations during transmission without requiring complex real-time computation, thus maintaining reliability while reducing computational burden
Data Source
AI summary
According to disclosed embodiments, methods and systems of data transmission are provided. A data stream is received. The data stream is parsed into a plurality of symbol sets. A number of encoded symbol sets are generated by linearly combining at least two of the symbol sets using a coefficient matrix. The encoded symbols are packetized into encoded data packets. The encoded data signals are transmitted over at least one communication link.