Uplink Data Decoder for Automatic LTE Configuration Detection
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Solution Overview
Problem
Current methods for decoding uplink data in LTE networks require manual configuration of user equipment settings, which is time-consuming and prone to errors, especially when dealing with multiple UEs, as they lack the ability to automatically identify control information like CQI, PMI, and RI without prior knowledge of UE configurations.
Innovation Solution
Storing bit widths for possible valid configurations of uplink control information parameters and iteratively using them to decode uplink data, allowing automatic identification of control information without prior knowledge of UE configurations, using a system with a memory to store these bit widths and an uplink data decoder to process the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual UE configuration is used to verify uplink data decoding, then decoding accuracy can be ensured, but the process becomes time-consuming and complex
Solution Approach 1:
The system performs self-configuration by automatically detecting UE parameters (CQI, PMI, RI) from the uplink data without requiring manual input. The decoder iterates through possible bit width configurations and validates them using CRC checks, enabling the system to self-determine the correct decoding parameters autonomously.
Solution Approach 2:
The system uses feedback mechanisms through CRC validation to verify decoding correctness. By checking the cyclic redundancy check values of decoded control information against expected values, the system can confirm whether a particular bit width configuration is correct and adjust accordingly.
2Reliability
If manual UE configuration is performed for each UE, then decoding reliability is improved, but device complexity and operational burden increase
Solution Approach 1:
The decoder automatically performs configuration detection by iterating through possible bit width combinations for control information parameters and validating them through CRC checks, eliminating the need for manual configuration input while maintaining decoding reliability.
Solution Approach 2:
The system dynamically adjusts the bit width parameters for control information based on the actual UE configuration detected in the uplink data. By changing the assumed bit widths and validating through CRC, the system adapts to different UE configurations automatically.
3Extent of automation
If iterative decoding with multiple configurations is used, then automatic decoding capability is achieved, but processing complexity increases
Solution Approach 1:
The decoding process is segmented into distinct steps: extracting control information with assumed bit widths, validating through CRC checks, and iterating through possible configurations only when necessary. This segmentation makes the complex iterative process more manageable and systematic.
Solution Approach 2:
The system performs partial decoding by trying only the necessary bit width configurations rather than exhaustively checking all possible parameter combinations. By using CRC validation to quickly eliminate incorrect configurations, the system reduces the effective complexity while maintaining automation.
Data Source
AI summary
Methods, systems, and computer readable media for decoding uplink control information are disclosed. According to one method, bit widths for possible valid configurations of uplink control information parameters are stored. Uplink data generated by receiving uplink data generated by at least one user equipment (UE) or simulated UE is received. The uplink data is decoded by iteratively utilizing the bit widths for the possible valid configurations.