Joint Polar Encoding for Feedback-Free MIMO Data Streams
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Solution Overview
Problem
In communication systems, achieving MIMO channel capacity is hindered by the need for feedback information about each information stream, which can be error-prone and voluminous.
Innovation Solution
A data processing method that uses polar code encoding to transmit data streams without requiring feedback information, by arranging information bit subblocks in specific orders and using a mapping relationship between these orders to enable joint encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If feedback information about each information stream is used to achieve MIMO channel capacity, then channel capacity is improved, but system complexity and error rate increase due to voluminous feedback
Solution Approach 1:
The patent extracts and removes the feedback information requirement from the MIMO system. By using joint encoding of multiple data streams without needing channel state information feedback, the system achieves channel capacity while eliminating the complex feedback mechanism that causes errors and increases system complexity.
Solution Approach 2:
The patent merges multiple data streams into a joint encoding process. Instead of separately encoding and feedback each stream, multiple streams are combined and encoded together, achieving channel capacity through the merged signal while avoiding the complexity of individual stream feedback.
2Productivity
If feedback information about each information stream is transmitted, then channel capacity is achieved, but reliability decreases due to feedback errors
Solution Approach 1:
The patent removes the feedback information transmission from the system. By achieving channel capacity through joint encoding without feedback, it eliminates the source of feedback errors and improves reliability while maintaining productivity.
3Device complexity
If feedback information is reduced, then system complexity is lowered, but channel capacity may be compromised
Solution Approach 1:
The patent combines multiple data streams into a unified joint encoding process that does not require feedback. This merging approach maintains channel capacity by efficiently utilizing the available channel resources while significantly reducing feedback overhead and system complexity.
4Reliability
If separate encoding is used for each information stream, then individual stream reliability is maintained, but spectral efficiency decreases
Solution Approach 1:
The patent merges multiple information streams into a joint encoding framework. This approach improves spectral efficiency by better utilizing channel resources through combined signal processing, while maintaining reliability through the robust joint decoding process that can recover individual streams from the combined signal.
Data Source
AI summary
A data processing method, an apparatus, and a device. The data processing method may be performed by a first communication device, and the first communication device is a transmit end of encoded data. When simultaneously sending one or more data streams, the first communication device places information bits in a data stream in a specified order. A plurality of data streams may be arranged in a specified order, so that joint encoding without feeding back information can be implemented, and transmission close to a channel capacity can be implemented.