Wireless Sensing Triggers for Lower Power and Higher Throughput
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Solution Overview
Problem
Conventional wireless sensing systems face issues with power consumption and throughput loss due to semi-static resource allocation for sensing measurements, leading to inefficient use of resources and increased energy consumption.
Innovation Solution
Introduce trigger information for performing sensing measurements based on sensing measurement configuration, allowing for dynamic and efficient resource utilization, reducing power consumption and improving throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If semi-static resource allocation is used for sensing measurements, then sensing measurement capability is provided, but power consumption increases and throughput is lost
Solution Approach 1:
The patent applies dynamics by transitioning from semi-static resource allocation to dynamic trigger-based resource allocation. The sensing receiver only performs measurements when triggered by specific events (e.g., detection of reference signals, control information, or predefined conditions), allowing the system to adapt resource usage to actual sensing needs rather than allocating resources continuously or semi-statically.
Solution Approach 2:
The patent implements periodic action through trigger-based measurement initiation. Instead of continuous or semi-static measurement operations, the system uses periodic triggers (such as received reference signals, control information, or time-based conditions) to initiate sensing measurements only when necessary, reducing overall power consumption while maintaining measurement capability.
2Measurement precision
If semi-static resource allocation is used for sensing measurements, then sensing measurement capability is provided, but throughput loss occurs
Solution Approach 1:
The patent resolves the throughput loss issue by implementing dynamic resource allocation that adjusts measurement operations based on actual system conditions and traffic requirements. By using triggers tied to data transmission events or network conditions, the system performs sensing measurements only when they do not conflict with data throughput requirements, thereby maintaining both measurement capability and productivity.
Solution Approach 2:
The patent applies feedback mechanisms where the sensing receiver monitors for trigger conditions (such as received signals, control information, or network commands) that indicate when sensing measurements should be performed. This feedback-driven approach ensures measurements are taken at appropriate times that balance sensing accuracy requirements with data transmission throughput, avoiding unnecessary measurements that would cause throughput loss.
3Use of energy by moving object
If trigger-based sensing measurement is implemented, then power consumption is reduced, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the sensing receiver to autonomously determine when to perform measurements based on pre-configured trigger conditions. The device monitors incoming signals and autonomously initiates measurements when triggers are detected, without requiring continuous network control or complex centralized coordination, thereby reducing power consumption while managing system complexity through decentralized decision-making.
Data Source
AI summary
Provided is a method for wireless sensing. The methos is applicable to a first communication device, and the method includes: receiving first information; wherein the first information includes trigger information for performing a sensing measurement based on sensing measurement configuration information. The first communication device includes: a processor and a memory, wherein the memory is configured to store one or more computer programs, wherein the processor is configured to load and run the one or more computer programs stored in the memory, to cause the first communication device to perform the method.


