Coded Packet Combining With Robust Header Protection
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Solution Overview
Problem
In unidirectional multipoint-to-point communication systems, the challenge is to decode payload data efficiently and reliably under diverse receiving conditions without a return channel, particularly when multiple transmitters send data to a central receiver, leading to interference and unpredictable reception quality.
Innovation Solution
The system employs code combining and incremental redundancy by generating multiple channel-coded data packets with varying redundancy information, allowing the receiver to decode individual packets or combine them for increased redundancy and code gain, even in poor signal conditions, without requiring a return channel for feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple transmitters send data to a central receiver in unidirectional multipoint-to-point transmission, then the system can support multiple subscribers with random transmission times, but interference increases and reception quality becomes unpredictable
Solution Approach 1:
The payload data is segmented into multiple coded data packets with different redundancy levels. Each packet is independently decodable, but combining multiple packets provides enhanced error correction capability, allowing the receiver to handle interference from multiple transmitters more effectively.
Solution Approach 2:
The system changes the redundancy parameter of coded data packets dynamically. Packets are transmitted with varying redundancy information, and the receiver adapts by combining packets to achieve the necessary code gain for reliable decoding under diverse reception conditions.
2Reliability
If a return channel is added for feedback to improve decoding reliability, then error-free decoding can be confirmed, but system complexity and cost increase
Solution Approach 1:
The system achieves error-free decoding without requiring a return channel for feedback. The receiver autonomously determines whether decoding was successful and combines packets as needed, eliminating the need for complex feedback mechanisms while maintaining high reliability.
3Reliability
If higher redundancy coding is used for all data packets, then error-free decoding is more likely, but transmission efficiency decreases
Solution Approach 1:
Instead of applying full redundancy to all packets, the system uses partial redundancy in individual packets and combines multiple packets to achieve the necessary error correction. This approach provides sufficient reliability while minimizing the overhead in each transmitted packet, improving overall transmission efficiency.
Data Source
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Figure 3A
AI summary
Concept for transmitting payload data (112-m) from a transmitter (110-m) to a receiver (120) via a communication channel within a time interval (T), wherein a plurality of channel-coded data packets (210-n) are generated from the payload data (112-m) within the time interval (T), wherein each of the channel-coded data packets comprises packet core data (212-n) corresponding to a packet identification of the respective channel-coded data packet, and wherein the packet core data is coded with a channel code of higher redundancy than the payload data (112-m). The plurality of channel-coded data packets (210-n) are sent, within the time interval (T), without any return channel to the receiver (120), which comprises a decoder (DEC) adapted to decode packet core data (212-1) of a first received channel-coded data packet (210-1) of the time interval (T), and, if error-free decoding of the first channel-coded data packet (210-1) so as to obtain the payload data (112-m) fails, to decode packet core data (212-2) of at least one second received channel-coded data packet (210-2) of the time interval (T) so as to determine a suitable further channel-coded data packet of the time interval for combination with the first channel-coded data packet so as to obtain, on account of the combination, an increased code gain for decoding of the payload data.