CCA Detection Patterns for Unlicensed Carrier Multiplexing
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Solution Overview
Problem
The existing Clear Channel Assessment (CCA) detection methods for unlicensed carriers in LTE systems suffer from low multiplexing efficiency and unlicensed carrier access probability due to the inability to recognize interference sources during CCA detection.
Innovation Solution
A CCA detection method and apparatus that acquire and perform CCA detection using specific patterns, including time and frequency domain parameters, to determine the availability of unlicensed carrier channels, thereby adjusting detection thresholds and timing to enhance multiplexing efficiency and access probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional CCA detection is performed without pattern recognition, then the detection process is simple, but the multiplexing efficiency and channel access probability are low
Solution Approach 1:
The patent divides the CCA detection process into multiple segments by introducing CCA detection patterns with different time-domain and frequency-domain configurations. Instead of a single uniform detection method, the system segments detection into multiple pattern types (e.g., first CCA detection pattern, second CCA detection pattern) that can be selectively applied based on channel conditions and operator requirements, thereby improving multiplexing efficiency without overwhelming complexity
Solution Approach 2:
The patent implements dynamic adaptation of CCA detection parameters including adjustable detection thresholds, variable timing patterns, and flexible frequency-domain patterns. The system dynamically selects and adjusts detection patterns based on real-time channel conditions, operator identifiers, and multiplexing requirements, transforming the static detection process into a dynamic optimization mechanism that maximizes channel access probability
2Reliability
If CCA detection threshold is adjusted to recognize interference sources, then channel access probability increases, but detection accuracy may be affected
Solution Approach 1:
The patent applies local quality by introducing operator-specific and cell-specific CCA detection patterns with differentiated threshold settings. Different detection thresholds are assigned to different spatial and operational contexts (e.g., intra-operator vs. inter-operator scenarios, different cell IDs), allowing the system to optimize threshold values for specific local conditions while maintaining overall detection accuracy through context-aware parameter selection
Solution Approach 2:
The patent systematically varies multiple detection parameters including time-domain patterns (starting positions, durations, intervals), frequency-domain patterns (resource block allocations), and threshold values based on operator identifiers and channel conditions. This multi-parameter optimization enables the system to adapt detection sensitivity and specificity to recognize interference sources accurately while maximizing channel access probability across diverse operational scenarios
3Productivity
If multiple CCA detection patterns are implemented, then resource multiplexing efficiency improves, but the complexity of managing detection patterns increases
Solution Approach 1:
The patent designs a universal CCA detection framework where a single set of detection patterns serves multiple functions: intra-operator multiplexing, inter-operator coordination, interference source recognition, and channel access optimization. The patterns are designed to be multi-purpose, handling various operational scenarios through parameter configuration rather than requiring separate dedicated detection mechanisms for each function, thereby reducing overall system complexity
Data Source
AI summary
The present disclosure provides a clear channel assessment detection method and apparatus. The method includes: acquiring a clear channel assessment (CCA) detection pattern or a Muting pattern; and performing a CCA detection to an unlicensed carrier channel on resources corresponding to one of the CCA detection pattern or the Muting pattern.