LTE Subframe Scheduling for Puncturing-Resilient Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In 4G LTE networks, particularly with BL/CE UEs, puncturing symbols between consecutive subframes for frequency retuning can lead to decoding errors due to inappropriate puncturing patterns, which existing mechanisms have not adequately addressed.
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, and using turbo decoders to attempt different combinations of punctured bits for successful decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If puncturing symbols is performed to create a guard period for frequency retuning, then the frequency retuning can be accommodated, but decoding errors occur at the receiver
Solution Approach 1:
The system performs preliminary identification of problematic puncturing patterns associated with each transmission option before making scheduling decisions. By pre-characterizing which puncturing patterns cause decoding failures for different modulation and coding schemes, the system can avoid selecting these problematic combinations, thereby preventing decoding errors before they occur while still enabling frequency retuning through guard periods.
Solution Approach 2:
The system modifies transmission parameters dynamically by selecting from multiple transmission options (different modulation and coding schemes) based on the identified problematic puncturing patterns. When a puncturing pattern is detected as problematic for a given transmission option, the system changes the transmission parameters to an alternative option that is more robust to that puncturing pattern, thus maintaining decoding accuracy while preserving frequency retuning capability.
2Productivity
If transmission options with higher data rates are selected, then productivity increases, but decoding errors increase due to puncturing patterns
Solution Approach 1:
The system dynamically adjusts transmission parameters by selecting from multiple transmission options with different modulation and coding schemes. When higher data rate options are identified as having problematic puncturing patterns, the system switches to alternative transmission options that offer a balance between data rate and robustness to puncturing, thereby optimizing the trade-off between productivity and decoding accuracy based on the specific puncturing pattern conditions.
Solution Approach 2:
The system incorporates feedback mechanisms where the base station identifies problematic puncturing patterns and communicates this information to influence transmission option selection. This feedback loop allows the system to adapt transmission parameters in real-time, avoiding high data rate options that would fail under current puncturing conditions while still maximizing throughput when conditions are favorable.
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.