Reference Signal Transmission Using CBR-Based Channel Sensing
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing channel congestion and optimizing resource allocation for reference signal transmission, particularly in emerging technologies like 6G, which require high data rates, low latency, and large device connectivity.
Innovation Solution
A method and device for wireless communication that involve obtaining information related to a resource pool, measuring received signal strength indicator (RSSI) over a channel busy ratio (CBR) measurement window, and determining a CBR based on these measurements to optimize reference signal transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reference signal transmission is increased to improve positioning accuracy and system performance, then positioning precision and communication reliability are improved, but channel congestion increases and resource allocation efficiency deteriorates
Solution Approach 1:
The patent changes transmission parameters of reference signals based on measured CBR values. When CBR is high indicating channel congestion, the system adjusts transmission power, transmission period, or resource allocation parameters to reduce congestion while maintaining positioning accuracy. This resolves the contradiction by dynamically adapting parameters to channel conditions.
Solution Approach 2:
The patent implements a feedback mechanism where the receiving device measures CBR and feeds back channel congestion information to the transmitting device. Based on this feedback, the transmitting device adjusts reference signal transmission parameters. This closed-loop control resolves the contradiction by continuously optimizing transmission to balance positioning accuracy with channel utilization.
2Productivity
If channel utilization is increased to improve resource allocation efficiency, then system capacity and data throughput are improved, but measurement accuracy of channel conditions deteriorates due to congestion
Solution Approach 1:
The patent performs CBR measurements in advance before reference signal transmission to determine channel conditions. By measuring RSSI and calculating CBR beforehand, the system obtains accurate channel condition information without the distortion of concurrent high-congestion conditions. This preliminary measurement resolves the contradiction by capturing channel state before congestion affects measurement accuracy.
Solution Approach 2:
The patent uses RSSI measurement as an intermediary to indirectly assess channel conditions. Instead of directly measuring channel congestion which is affected by transmission activity, the system measures received signal strength indicator as an intermediate parameter and derives CBR from it. This intermediary measurement resolves the contradiction by providing an accurate proxy for channel conditions that is less susceptible to congestion-induced measurement errors.
3Measurement precision
If CBR measurement window is extended to improve measurement accuracy, then channel condition assessment precision is improved, but measurement latency and response time to channel changes increase
Solution Approach 1:
The patent makes the CBR measurement window dynamic rather than fixed. The measurement window length is adjusted based on channel conditions and service requirements. In stable channel conditions, a longer window provides accurate averaging. In rapidly changing conditions, a shorter window provides timely response. This dynamic adjustment resolves the contradiction by optimizing the trade-off between measurement precision and latency according to actual conditions.
Solution Approach 2:
The patent applies partial averaging by measuring RSSI over multiple slots but using a measurement window that is sufficient for statistical accuracy without being excessively long. The system performs measurements on a subset of available slots (partial action) rather than all slots, achieving adequate measurement precision with reduced latency. This resolves the contradiction by finding the minimal sufficient measurement period.
Data Source
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AI summary
Provided are a method by which a first device performs wireless communication, and a device supporting same. The method may comprise the steps of: obtaining information related to a resource pool for transmitting a reference signal; measuring a received signal strength indicator (RSSI) for the resource pool over a channel busy ratio (CBR) measurement window; and obtaining the CBR on the basis of the measurement.