Received Data Copy Combining for Low-BER 60 GHz Transmission
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Solution Overview
Problem
60 GHz wireless network systems face transmission errors due to sensitivity to shadowing and obstacles, leading to high Bit Error Rate (BER) and latency issues in transmitting uncompressed High Definition (HD) video or image data.
Innovation Solution
A data processing method using maximum ratio combining of received data copies, dividing them into sub-portions, assembling combinations, performing error rate assessments, and selecting error-free reconstructed data portions to reduce BER and latency, while allowing for real-time decoding and parallelization of CRC checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maximum ratio combining is used to combine multiple received signals, then BER performance is improved, but device complexity increases
Solution Approach 1:
The received data copies are divided into multiple sub-portions, which are then independently processed and reassembled. This segmentation allows the maximum ratio combining operation to be applied to smaller data units, improving BER performance while managing processing complexity through modular operations.
Solution Approach 2:
Error rate assessment is performed on reconstructed data portions before final selection. This preliminary error checking allows the system to identify and select the best quality data portions in advance, ensuring improved BER performance while avoiding unnecessary complex processing of already-validated data.
2Reliability
If multiple received copies are processed and reconstructed, then transmission reliability is improved, but processing time increases
Solution Approach 1:
The system processes multiple copies beyond what a single copy would provide, creating reconstructed data portions from combinations of sub-portions. This partial processing approach ensures that even if some copies are degraded, sufficient valid data is obtained to maintain transmission reliability without unnecessarily processing all possible combinations.
Solution Approach 2:
Error rate assessment is conducted on reconstructed data portions before final output selection. This preliminary validation ensures that time-consuming processing is focused on generating reliable data, and the first valid reconstructed portion can be selected quickly, reducing overall processing time while maintaining high reliability.
3Measurement precision
If data is divided into sub-portions and reassembled, then error rate assessment accuracy is improved, but device complexity increases
Solution Approach 1:
Dividing data into sub-portions enables more granular error rate assessment. By assessing error rates on smaller reconstructed data portions rather than entire data sets, the system achieves more precise error detection and can identify the best quality segments, improving measurement precision while keeping processing manageable through modular operations.
Data Source
AI summary
A method for processing a plurality of received copies of the same original data, the method comprising performing maximum ratio combining on equivalent data portions of the received copies to derive at least one further equivalent data portion. The received and the constructed copies are then divided into sub-portions and combinations of divided sub-portions are assembled to provide reconstructed data portions. An error rate assessment is performed on the reconstructed data portions; and on this basis one is selected as an output.