Constrained Radio Message Encoding With Reduced-Type Repositories
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Solution Overview
Problem
In tactical telecommunications, existing electronic messaging systems face challenges in defining messages that are compatible with limited transmission rates, requiring minimal resources and bandwidth, while ensuring interoperability and efficient data transmission, especially in environments with restricted communication infrastructure.
Innovation Solution
A method for generating optimized messages by defining a first descriptor with reduced types, transforming it into a library of preconfigured messages, and instantiating these messages in memory, which reduces the byte size and ensures compatibility with constrained transmission rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If message encoding is optimized to reduce byte size for constrained transmission rates, then transmission efficiency is improved, but interoperability and flexibility of the messaging system deteriorate
Solution Approach 1:
The message structure is segmented into mandatory fields (always present, optimized encoding) and optional fields (conditionally present, flexible encoding). This allows the core message to use compact encoding for transmission efficiency while optional extensions maintain interoperability flexibility through standardized field definitions.
Solution Approach 2:
The system dynamically changes encoding parameters based on message type and transmission constraints. Different data types use different byte representations (e.g., position uses 2 bytes when sufficient, 16 bytes when precision required), allowing optimization of transmission efficiency while maintaining the ability to represent all required information when needed.
2Quantity of substance
If message repository is changed to restrict data volume for transmission rate constraints, then bandwidth usage is reduced, but system complexity and difficulty of maintaining interoperability increase
Solution Approach 1:
A single message repository structure serves multiple functions: it defines optimized encodings for constrained transmission, maintains standardized field definitions for interoperability, and supports optional extensions for flexibility. This universal structure eliminates the need for separate repositories for different transmission rates, reducing system complexity.
Solution Approach 2:
The message repository is pre-configured with optimized encodings and field definitions before deployment. This preliminary action allows the system to use compact representations by default while maintaining the capability to expand to full-precision representations when needed, avoiding runtime complexity and facilitating easy maintenance.
3Loss of information
If original message types are used without reduction, then message completeness and information precision are maintained, but transmission rate requirements exceed available bandwidth in constrained environments
Solution Approach 1:
Different parts of the message use different encoding precisions based on local requirements. Critical fields use optimized compact encoding for high transmission efficiency, while fields requiring high precision use fuller representations. This local differentiation maintains information precision where needed while optimizing overall transmission rate for constrained environments.
Data Source
AI summary
Disclosed is a process for generating a library of messages that are transmittable in a radio environment with constrained bandwidth. The process may include defining a first descriptor of a set of messages, each message including a set of attributes. Each of the attributes of the each message may include a reduced type. The descriptor may also describe the set of reduced types, and each of the reduced types may be encoded from an original type. The process may further include a transformation of the first descriptor into a library of preconfigured messages that defines a given repository and an instantiation of a message of the repository to generate a dataset in a memory.