PUSCH Scheduling Against Puncturing-Induced Decoding Errors
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Solution Overview
Problem
In 4G LTE networks, particularly in Release 13 and beyond, decoding errors occur due to puncturing patterns used during frequency retuning of bandwidth-reduced, low-complexity UEs, which affects the reliability of PUSCH symbol transmission between consecutive subframes.
Innovation Solution
The solution involves identifying and modifying transmission options and puncturing patterns to minimize decoding errors by selecting appropriate resource blocks, modulation and coding schemes, and transport block sizes, as well as utilizing turbo decoders and Viterbi algorithms to handle punctured bits and ensure correct decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If puncturing patterns are used to create guard periods for frequency retuning, then bandwidth-reduced UEs can switch between narrowbands, but decoding errors occur in PUSCH symbols
Solution Approach 1:
The system performs preliminary identification of problematic puncturing patterns by evaluating all possible puncturing patterns against the transmission options (MCS and resource block combinations). This pre-evaluation creates a lookup table of problematic patterns before actual transmission occurs, allowing the system to avoid these patterns in advance and prevent decoding errors before they happen.
Solution Approach 2:
The system establishes a feedback mechanism where decoding performance is monitored and used to identify problematic puncturing patterns. The identified problematic patterns are then fed back into the scheduling decision process to avoid selecting these patterns in future transmissions, creating a continuous improvement loop that enhances decoding reliability.
2Productivity
If transmission options with higher data rates are selected, then communication efficiency improves, but the impact of puncturing on decoding increases
Solution Approach 1:
The system changes the parameters of transmission options by evaluating different combinations of modulation and coding schemes (MCS) and resource blocks. For each transmission option, the system determines which puncturing patterns are problematic based on the specific parameter combination, allowing dynamic adjustment of transmission parameters to avoid decoding errors while maintaining high data rates.
Solution Approach 2:
The system implements dynamic selection of transmission options and puncturing patterns based on current channel conditions and UE capabilities. The scheduling entity dynamically evaluates transmission options and selects combinations that maximize data rate while avoiding identified problematic puncturing patterns, adapting to changing conditions in real-time.
Data Source
AI summary
Aspects of the disclosure relate to techniques for mitigating the decoding errors observed at the receiver as a result of puncturing symbols between consecutive subframes having the same transmission direction. To reduce the decoding errors, a plurality of transmission options, each including a number of resource blocks and a modulation and coding scheme (MCS), may be identified. In addition, each transmission option may be associated with one or more puncturing patterns that hinder decoding of a codeword at the receiver. The base station or user equipment (UE) may then select or modify at least one aspect of a scheduling decision involving the communication of the codeword in a given subframe of at least two consecutive subframes to minimize decoding errors. For example, a selected puncturing pattern or a transport block size associated with a selected transmission option may be modified.