USS Candidate Channel Search Space for Low-Power Blind Detection
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Solution Overview
Problem
Existing mobile communication technologies, such as new radio for Internet of Things devices, struggle to balance high data rates, low latency, and low power consumption requirements, particularly in scenarios like video surveillance and industrial sensing monitoring.
Innovation Solution
The method involves reducing the maximum number of candidate channels for each aggregation level in a user equipment-specific search space to limit blind detections, thereby reducing power consumption while maintaining performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the maximum number of candidate channels for each aggregation level in USS is reduced to limit blind detections, then power consumption is reduced, but downlink coverage may be degraded
Solution Approach 1:
The patent implements dynamic adjustment of candidate channel quantities for different aggregation levels based on actual channel conditions and device requirements. The base station determines the maximum number of candidate channels for each aggregation level in the USS adaptively, rather than using fixed maximum values, allowing the system to optimize between power consumption and coverage based on current conditions.
Solution Approach 2:
The patent changes the parameter of candidate channel quantity for each aggregation level to resolve the contradiction. By adjusting the maximum number of candidate channels for different aggregation levels (AL1, AL2, AL4, AL8, AL16) in the USS, the system can control blind detection quantity and power consumption while maintaining necessary coverage through appropriate parameter selection.
2Productivity
If the maximum number of candidate channels for each aggregation level in USS is reduced, then the number of blind detections is reduced, but the capability to support high data rates may be limited
Solution Approach 1:
The patent segments the search space into different aggregation levels (AL1, AL2, AL4, AL8, AL16) and independently controls the candidate channel quantity for each level. This segmentation allows the system to reduce blind detections by limiting candidate channels at lower aggregation levels while preserving high data rate capability through adequate candidate channels at higher aggregation levels that support larger transport blocks.
Solution Approach 2:
The patent applies different candidate channel quantity configurations to different aggregation levels based on their specific requirements. Lower aggregation levels with smaller transport blocks receive fewer candidate channels, while higher aggregation levels with larger transport blocks maintain more candidate channels, optimizing both blind detection reduction and high data rate support locally for each aggregation level.
Data Source
AI summary
A method, computer readable medium, and apparatus for determining a search space to improve power consumption of device in a wireless network, The power consumption is improved by: determining a maximum number of candidate channel for each AL in a USS, where the maximum number of candidate channel for at least one AL is less than a maximum configuration value.