Wireless Audio Transport Using ALNC for Low-Latency Sync
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Solution Overview
Problem
Existing wireless audio systems face challenges in achieving low latency due to high computational costs, which can lead 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, employing Galois fields and non-singular code subsets, allows for robust and scalable audio transmission by dividing data into symbols, encoding with scalar coefficients, and transmitting over multiple channels to reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional wireless audio transmission techniques are used, then audio quality can be maintained, but latency becomes too high for compatibility with low latency televisions
Solution Approach 1:
The audio data stream is segmented into multiple packets, each encoded with ALNC using different coefficients from the alphabet. This segmentation allows the receiver to reconstruct the original audio from any sufficient subset of packets, enabling low-latency transmission without requiring all packets to be received in sequence
Solution Approach 2:
The system changes the encoding parameters by using ALNC with specific alphabet sizes (e.g., Q=4, Q=8, Q=16) and different coding coefficients. These parameter changes optimize the balance between transmission reliability and latency, allowing fast decoding while maintaining audio quality
2Loss of time
If computational resources are increased to achieve accurate transmission with low latency, then latency is reduced, but the cost and complexity of the system increases significantly
Solution Approach 1:
The encoding coefficients and ALNC parameters are predetermined and pre-configured in both transmitter and receiver. This preliminary setup eliminates the need for complex real-time computation of encoding schemes, reducing latency while maintaining accuracy
Solution Approach 2:
The system uses computationally efficient ALNC encoding with fixed alphabets that can be implemented with minimal processing power. Rather than using complex, resource-intensive error correction codes, the patent employs simpler, faster encoding schemes that achieve comparable reliability with much lower computational cost
3Loss of time
If a single radio architecture is used, then device complexity is reduced, but the ability to transmit audio with low latency is compromised due to medium access constraints
Solution Approach 1:
The audio stream is divided into multiple segments that can be transmitted over different radio channels simultaneously. This segmentation allows parallel transmission through multiple radios, reducing overall latency while distributing the processing load across independent channels
Solution Approach 2:
The multi-radio architecture provides multi-functionality by enabling simultaneous transmission on multiple frequency bands or channels. Each radio can operate independently, providing redundancy and parallel processing capabilities that reduce latency without requiring complex coordination between radios
Data Source
AI summary
According to disclosed embodiments, methods and systems of data transmission are provided. An aspect of the present disclosure is a method comprising receiving an audio stream, parsing the audio stream into packets, encoding each packet using Alphabet Linear Network Coding (ALNC), and transmitting the encoded packets.