User Equipment Downlink Signal Processing for Low-Cost Devices
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Solution Overview
Problem
Current wireless communication systems face inefficiencies in signal processing, particularly for low-price user equipment, where existing methods do not effectively manage varying Transport Block sizes for different types of data, leading to suboptimal signal reception and processing.
Innovation Solution
A method and apparatus for a user equipment in a wireless communication system that receives and processes downlink signals by distinguishing between different Transport Block sizes for common and unicast data, allowing selective signal processing based on predefined maximum sizes, enabling efficient reception and processing of signals even when data exceeds individual maximum sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a user equipment processes all received downlink data regardless of size, then data reception completeness is improved, but decoding complexity and processing time increase significantly
Solution Approach 1:
The patent segments the downlink data processing into two distinct parts: common data (broadcast information) and unicast data (user-specific information). The UE separately processes these data types with different maximum size thresholds, avoiding the need to process all data uniformly and thereby reducing overall decoding complexity while maintaining completeness.
Solution Approach 2:
The patent introduces a parameter change by setting different maximum size thresholds for common data versus unicast data. When the total data size exceeds the UE's processing capability, the system dynamically adjusts which data to process based on priority and size constraints, optimizing the balance between reception completeness and processing complexity.
2Reliability
If a user equipment processes all received downlink data, then data completeness is improved, but processing time and latency increase
Solution Approach 1:
By segmenting data processing into common and unicast categories with separate size thresholds, the UE can quickly determine which data to process and which to skip, significantly reducing the time spent on decoding operations while ensuring critical data is received.
Solution Approach 2:
The patent applies partial action by processing only a subset of received data when the total size exceeds the UE's maximum capability. Priority is given to common data and essential unicast data, allowing the system to achieve sufficient operational reliability without processing all data, thereby reducing latency.
3Adaptability or versatility
If a user equipment is designed to handle large Transport Block sizes, then data reception capability is improved, but device cost and complexity increase
Solution Approach 1:
The patent implements a dynamic data processing capability where the UE can adaptively handle different data sizes by switching between processing modes. The device maintains a baseline processing capability for common data and can selectively process additional unicast data when resources permit, providing flexible adaptability without requiring maximum capability for all scenarios.
Solution Approach 2:
The system changes the maximum data size parameter dynamically based on the type of data being received. For common data, a higher threshold is applied, while for unicast data, a lower threshold is used. This parameter adaptation allows the UE to maintain lower hardware complexity while achieving versatile data reception capability through software-controlled processing decisions.
4Productivity
If a user equipment selectively processes data based on size thresholds, then processing efficiency is improved, but risk of missing important data increases
Solution Approach 1:
The patent applies different processing quality standards to different data types. Common data (system information, broadcast messages) receives higher priority and larger size thresholds, ensuring these critical messages are always processed. Unicast data receives lower priority with smaller thresholds, allowing the system to skip less critical user data when resources are constrained, thus maintaining overall reliability while improving efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms where the UE monitors its processing capacity and data queue status, dynamically adjusting which data to process. When processing efficiency is compromised or important data is detected, the system can adjust thresholds and priorities in real-time, ensuring that selective processing does not lead to loss of critical information.
Data Source
AI summary
A method of receiving a downlink signal by a user equipment in a wireless communication system is discussed. The method includes receiving a plurality of scheduling information, each scheduling information being associated with a respective data in a same time unit, and receiving at least one of a plurality of the respective data based on whether sizes of the first and second data are under a processing capability of the user equipment, wherein the processing capability of the user equipment includes two maximum data sizes, and a first maximum data size T1 is smaller than a second maximum data size T2.