Hybrid RF–Baseband Sensing Signals for Low-Power Entity Detection
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Solution Overview
Problem
Current sensing solutions in wireless communication networks, particularly for low processing power nodes, face challenges in distinguishing between sensing signals from different entities and require significant power and complexity, limiting their effectiveness in low power mode.
Innovation Solution
A method and apparatus that generate a linearly frequency modulated signal and modulate it with a signature function to create a sensing signal, enabling low-complexity and low-power RF-dominant processing, with additional baseband domain processing for higher resolution sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If current sensing solutions are used for low processing power nodes, then power consumption and complexity are reduced, but the ability to distinguish between sensing signals from different entities is limited
Solution Approach 1:
The patent introduces an additional dimension for signal distinction by modulating sensing signals with signature functions in the baseband domain. While RF-dominant processing handles basic sensing operations with low complexity, the baseband domain adds a new dimension (signature space) that enables differentiation between signals from multiple entities without significantly increasing overall system complexity.
Solution Approach 2:
The sensing signal processing is segmented into two distinct domains: RF-dominant processing for low-complexity operations and baseband-domain processing for enhanced distinguishability. This segmentation allows low processing power nodes to perform basic sensing while optionally utilizing baseband processing when additional signal differentiation is required.
2Measurement precision
If baseband domain processing is added to expand sensing signal pool, then signal distinguishability is improved, but processing power and complexity increase
Solution Approach 1:
The system dynamically adjusts the level of processing based on requirements. Low processing power nodes can operate in RF-dominant mode for basic sensing, and transition to or utilize baseband-domain processing when higher sensing resolution is needed. The hybrid architecture allows flexible adaptation of processing complexity to match operational requirements.
Solution Approach 2:
Baseband-domain processing adds an extra dimension (signature function space) to the sensing signal pool without requiring a complete redesign of the RF processing chain. This additional dimension enables enhanced signal distinguishability while keeping the core RF processing architecture intact and efficient.
3Use of energy by moving object
If RF-dominant processing is used for low power mode, then power consumption is reduced, but sensing resolution is limited
Solution Approach 1:
Processing is segmented into RF-dominant and baseband domains, allowing devices to select the appropriate processing level based on power availability. Low power mode utilizes RF-dominant processing for basic sensing, while higher power modes can engage baseband processing for enhanced resolution, enabling dynamic power-performance trade-offs.
Solution Approach 2:
The hybrid architecture enables dynamic switching between processing modes. Devices can adaptively choose between RF-dominant low-power operation and baseband-enhanced high-resolution operation based on real-time power conditions and sensing requirements, making the system flexible across different operational states.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables low-power and low-complexity sensing by allowing UEs to distinguish between sensing signals from distinct entities, achieving higher resolution sensing with reduced processing power consumption.
Implementation Method 1
generating a linearly frequency modulated signal, generating a signature function, obtaining a sensing signal by modulating the linearly frequency modulated signal with the signature function
Data Source
AI summary
A sensing signal may be selected from a sensing signal pool that has been expanded on the basis of one or more extra signal configuration parameters. That is, the sensing signal pool has an increased signature space relative to sensing signals designs that are based on only two signal configuration parameters. Furthermore, an appropriately selected sensing signal may be shown to enable low-complexity and low power mode sensing detection for relatively low capability nodes. A sensing signal may be generated from amongst a plurality of sensing signals that may be understood to form a pool of sensing signals, where the sensing signals in the pool have attributes in both the RF domain and the baseband domain.