Semantic Message Compression for Poor Wireless Connections
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Solution Overview
Problem
In wireless communication, limited network bandwidth and high block error rates can hinder the successful transmission of messages, particularly in poor connection quality scenarios, leading to increased latency and delivery failures.
Innovation Solution
A wireless device determines whether to send a reduced-size message across a wireless network by analyzing connection quality and using techniques such as predetermined codes, context-aware phrase likelihood prediction, and message encoding to compress messages, ensuring successful transmission even in suboptimal conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If message size is reduced using compression techniques, then message delivery success rate improves, but message complexity and processing overhead increase
Solution Approach 1:
The message is segmented into semantic units (phrases, concepts, entities) that can be independently encoded and transmitted. This segmentation allows the system to apply compression selectively to different parts of the message based on their importance and redundancy, improving delivery success rate while managing processing complexity through modular handling of message components.
Solution Approach 2:
The system performs preliminary semantic analysis and context extraction before message transmission. By pre-processing the message to identify key semantic elements, relationships, and context information, the system prepares a compressed representation that can be transmitted efficiently. This preliminary action reduces the complexity of real-time processing during transmission while ensuring high delivery success rate.
2Productivity
If connection quality threshold is lowered to allow more messages, then network utilization improves, but error rate increases
Solution Approach 1:
The system dynamically changes message parameters (size, compression level, semantic detail) based on connection quality conditions. When connection quality is poor, messages are compressed to smaller sizes with essential semantic information prioritized. When connection quality improves, full-detail messages can be transmitted. This parameter adaptation allows the system to maintain high network utilization while ensuring reliable delivery by adjusting message characteristics to match current network conditions.
3Quantity of substance
If message compression is applied, then bandwidth consumption decreases, but processing time increases
Solution Approach 1:
The system applies partial compression by selectively compressing only the portions of the message that benefit most from compression while leaving critical or non-compressible elements unchanged. This partial action approach reduces bandwidth consumption for the compressible portions without requiring full processing of entire message content, thereby decreasing processing time while still achieving bandwidth savings.
Solution Approach 2:
The system creates simplified copies or representations of message content (semantic summaries, key entity extractions, contextual metadata) that can be transmitted in place of or alongside full messages. These copied representations require less bandwidth and can be processed more quickly, reducing both bandwidth consumption and processing time while preserving essential message meaning.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sending a reduced size message. One of the methods includes receiving, by a wireless device, a request to send, over a wireless network, a message comprising one or more phrases; determining that a connection quality for the wireless network does not satisfy a connection quality threshold; generating, responsive to determining that the connection quality threshold is not satisfied, a reduced-size message based at least in part on the one or more phrases; and sending, by the wireless device and via the wireless network, the reduced-size message.