Low Complexity UE Simultaneous Downlink Reception Prioritization
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Solution Overview
Problem
Low complexity user equipment (UE) in LTE networks faces challenges in receiving simultaneous downlink transmissions due to limited maximum transport block size (TBS), which requires significant buffering or reduces user data rate, making it difficult to operate with limited processing and buffering capabilities.
Innovation Solution
The UE is allowed to skip decoding of one or more transport blocks if the total TBS exceeds the maximum, using predetermined prioritization rules to select a subset of transport blocks for decoding based on their priority, type, and scheduling information, ensuring that the total TBS threshold is not exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE receives all simultaneous downlink transmissions with total TBS exceeding the maximum, then the complete information is received, but the buffering and processing requirements become excessively large
Solution Approach 1:
The patent extracts and prioritizes critical transport blocks (such as system information and paging messages) from the set of simultaneous downlink transmissions. By identifying and separating high-priority TBs that must be decoded, the system ensures essential information is received while excluding lower-priority TBs that would otherwise exceed the UE's buffering and processing capabilities.
Solution Approach 2:
The patent applies different quality levels of reception to different transport blocks based on their priority. High-priority TBs (system information, paging) receive full decoding resources, while lower-priority TBs (user data) may be partially processed or skipped. This local differentiation of processing quality allows the UE to operate within its limited capabilities while maintaining reliability for critical functions.
2Quantity of substance
If the UE shares the 1000 bits between user data and other transmissions, then the buffering requirements are reduced, but the user data rate is significantly reduced
Solution Approach 1:
The patent implements dynamic allocation of the 1000-bit transport block size among different transmission types based on current network conditions and priority requirements. Rather than static sharing, the system dynamically adjusts the portion allocated to user data versus system information and paging, allowing optimal utilization of available buffering resources while maximizing user data rate when possible.
Solution Approach 2:
The patent changes the parameter of transport block size allocation dynamically. By adjusting the TBS allocated to user data versus other transmissions based on priority levels and current needs, the system can maintain acceptable buffering requirements while optimizing user data rate through parameter adaptation rather than fixed allocation.
3Reliability
If the UE decodes all transport blocks in simultaneous transmissions, then complete data is received, but the device complexity increases
Solution Approach 1:
The patent segments the set of simultaneous downlink transmissions into priority-based groups. By dividing TBs into high-priority (system information, paging) and lower-priority (user data) segments, the UE can apply different processing strategies to each segment, decoding high-priority TBs completely while using simpler or no processing for lower-priority TBs, thereby reducing overall device complexity.
Solution Approach 2:
The patent applies partial decoding action to transport blocks based on priority. For high-priority TBs, full decoding is performed to ensure reliability. For lower-priority TBs, partial processing or selective decoding is applied, performing only enough action to meet minimum requirements while avoiding the excessive processing that would increase device complexity.
4Device complexity
If the UE implements selective decoding based on priority rules, then the processing load is reduced, but the ability to receive all transmissions is compromised
Solution Approach 1:
The patent implements a universal prioritization framework that handles multiple types of downlink transmissions (system information, paging, user data) through a single set of priority rules. This multi-functional approach allows the UE to adaptively manage diverse transmission types with consistent processing logic, maintaining the ability to receive all transmission types while managing processing load through unified priority-based selection.
Data Source
AI summary
A low complexity user equipment (40) includes maximum size restriction, such as a maximum transport block size, for simultaneous downlink transmissions. When the user equipment (40) receives simultaneous downlink transmission exceeding the maximum size restriction, the user equipment (40) is allowed to skip decoding of one or more of the downlink transmission (e.g., one or more transport blocks) according to a predetermined set of rules.