Cross-TTI Codeword Decoding Using Aggregated Bit Reliability
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Solution Overview
Problem
In Narrow Band Internet of Things (NB-IoT) technology, devices face increased power consumption due to repeated decoding processes when acquiring system information from a poor wireless channel, particularly during initial access to an NB-IoT network.
Innovation Solution
A method that involves receiving bit reliability values (BRVs) for static and semi-static code bits, aggregating them to improve decoding efficiency, and using these aggregated BRVs to accelerate the decoding process of codewords, specifically by combining LLRs from multiple transmission time intervals to enhance confidence in code bit estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the decoding process is performed repeatedly to acquire system information from a poor wireless channel, then the decoding accuracy is improved, but the power consumption of the device increases
Solution Approach 1:
The patent applies preliminary action by performing BRV aggregation on static code bits before the actual decoding process. The decoder aggregates bit reliability values from multiple transmissions of static information bits across different TTIs, storing these aggregated values for subsequent decoding operations. This preliminary aggregation prepares the data in advance, reducing the need for repeated full decoding trials and thereby lowering power consumption while maintaining decoding accuracy.
2Reliability
If the decoding process is performed repeatedly to ensure reliable acquisition of system information, then the reliability of information acquisition is improved, but the time required for acquisition increases
Solution Approach 1:
The patent performs preliminary aggregation of bit reliability values for static code bits from multiple transmissions before attempting decoding. By preparing aggregated BRVs in advance across different TTIs, the system reduces the number of repeated decoding trials needed, thereby decreasing acquisition time while maintaining reliable information acquisition.
Solution Approach 2:
The patent applies local quality by treating static code bits differently from dynamic code bits. Static code bits, which represent unchanged system information, are subjected to BRV aggregation across multiple transmissions, while dynamic code bits are decoded in real-time. This differentiated approach optimizes the decoding process for specific parts of the data, improving overall efficiency and reducing acquisition time.
3Reliability
If the device performs multiple decoding trials to overcome poor channel conditions, then the decoding success rate is improved, but the complexity of the decoding process increases
Solution Approach 1:
The patent reduces decoding process complexity by performing preliminary aggregation of bit reliability values for static code bits before decoding. The aggregated BRVs are stored and reused across multiple decoding trials, eliminating the need to reprocess the same static information repeatedly. This approach maintains high decoding success rate while simplifying the overall decoding process.
Solution Approach 2:
The patent extracts and separates static code bits from dynamic code bits in the decoding process. By identifying and isolating static information bits that remain unchanged across TTIs, the system applies BRV aggregation only to these extracted static portions, while handling dynamic bits separately. This extraction reduces the complexity of repeated decoding operations.
Data Source
AI summary
Aspects of the disclosure provide a method for accelerating a decoding process. The method includes receiving first bit reliability values (BRVs) of a first codeword corresponding to a first bit sequence of an information block, receiving second BRVs of a second codeword corresponding to a second bit sequence of the information block, aggregating respective first BRVs and second BRVs into an aggregated. BRV for each static code bit of the second codeword, and decoding the second codeword to recover the second bit sequence of the information block using the aggregated BRVs of each static code bit of the second codeword.