Uplink Multi-Level Coding for Lower-Power Error Correction
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing uplink transmissions, particularly in high-frequency bands like sub-terahertz frequencies, due to high power consumption and increased error rates associated with conventional error correction coding techniques such as LDPC coding.
Innovation Solution
Implementing multi-level coding (MLC) schemes where different subsets of data bits are assigned different error correction codes, with one level using LDPC coding and another level either being uncoded or using a simpler scheme like Reed-Solomon coding, allowing for reduced power consumption and error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional error correction coding techniques such as LDPC coding are used for uplink transmissions in high-frequency bands, then error correction capability is improved, but power consumption increases
Solution Approach 1:
The data stream is divided into multiple levels (e.g., first level and second level), where different coding schemes are applied to different levels. The first level uses LDPC coding for strong error correction, while the second level uses simpler or no coding, thereby segmenting the error protection burden and reducing overall power consumption.
Solution Approach 2:
Different coding schemes are applied to different portions (levels) of the data based on their specific requirements. The first level receives intensive LDPC coding while the second level receives lighter coding, optimizing the balance between error correction and power consumption for each specific data portion.
2Reliability
If conventional error correction coding techniques such as LDPC coding are used for uplink transmissions, then error correction capability is improved, but overhead increases
Solution Approach 1:
The data is segmented into multiple levels with different coding applications. By applying LDPC coding only to the first level and using simpler coding or no coding for the second level, the total overhead is reduced while maintaining adequate error correction capability for the most critical data portions.
Solution Approach 2:
Different coding densities are applied to different data levels based on their error correction needs. The first level receives higher overhead LDPC coding while the second level receives lower overhead coding, optimizing the overall overhead-efficiency tradeoff.
3Use of energy by moving object
If multi-level coding schemes are implemented with different error correction codes for different data subsets, then power consumption is reduced, but system complexity increases
Solution Approach 1:
The system dynamically selects which coding scheme to apply to each data level based on channel conditions and power constraints. The network can flexibly configure the coding parameters and levels, allowing the system to adapt to changing conditions and optimize the balance between power consumption and complexity.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of a multi-level coding (MLC) capability for uplink transmissions. The UE may receive a configuration of a selected MLC scheme associated with an uplink transmission, wherein the configuration of the selected MLC scheme is based at least in part on the indication of the MLC capability for the uplink transmissions. Numerous other aspects are described.