RF Ranging and Imaging for Wireless Circuit Obstacle Detection
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Solution Overview
Problem
Wireless communications systems, particularly in indoor environments, face challenges with signal propagation loss due to obstacles not accounted for in initial deployment designs, especially with the transition to 5G-NR technology which operates in the millimeter-wave spectrum, leading to degraded RF coverage and throughput.
Innovation Solution
Incorporating an RF-based ranging and imaging capability in wireless communications circuits, which radiate probing signals to detect obstacles and process reflection signals to generate a surrounding image, allowing for adjustments to improve RF coverage and capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RF signals are transmitted in millimeter-wave spectrum for 5G-NR technology, then data throughput and capacity are improved, but signal propagation loss increases due to obstacles
Solution Approach 1:
The system performs preliminary environmental mapping and obstacle detection before deployment to identify potential signal blockages. By预先 assessing the environment, the system can pre-position remote units or configure beamforming patterns to avoid detected obstacles, thereby maintaining high throughput while minimizing propagation loss.
Solution Approach 2:
The system continuously monitors RF signal quality and obstacle detection data, using this feedback to dynamically adjust beamforming directions, remote unit positions, or transmission parameters. This closed-loop approach allows the system to adapt to changing environmental conditions, maintaining optimal performance despite obstacles in the millimeter-wave spectrum.
2Ease of manufacture
If remote units are deployed based on initial deployment design, then installation simplicity is maintained, but RF coverage is degraded due to unaccounted obstacles
Solution Approach 1:
The system performs preliminary environmental scanning and obstacle mapping during or immediately after deployment. This preliminary action identifies obstacles that were not accounted for in the initial design, allowing the system to subsequently optimize remote unit positions or beamforming patterns to achieve reliable RF coverage without requiring complex re-deployment.
Solution Approach 2:
The system transitions from static deployment configurations to dynamic adaptation by continuously monitoring environmental conditions and automatically adjusting beamforming patterns, remote unit activation, or signal routing. This dynamic approach maintains simple physical deployment while achieving reliable coverage through software-based optimization.
3Reliability
If environmental reassessment capability is added to detect obstacles, then RF coverage reliability is improved, but device complexity increases
Solution Approach 1:
The system uses the existing RF communication circuits and antennas for dual purposes: both for normal wireless communication and for environmental sensing/obstacle detection. By making the communication infrastructure multi-functional, the system achieves reliable RF coverage through environmental awareness without adding separate dedicated sensing hardware, thereby limiting the increase in device complexity.
Solution Approach 2:
The system uses its own transmitted RF signals to perform environmental mapping and obstacle detection through analysis of reflected, scattered, or absorbed signals. This self-service approach eliminates the need for external or separate sensing systems, achieving reliable coverage assessment using only the communication infrastructure already present.
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
This solution enables dynamic reassessment of the environment to identify and mitigate signal loss caused by unaccounted obstacles, enhancing RF coverage, throughput, and capacity in wireless communications cells.
Implementation Method 1
an antenna circuit configured to radiate an RF probing signal in a plurality of radiation directions in a wireless communications cell
Implementation Method 2
absorb a plurality of RF reflection signals corresponding to the RF probing signal radiated in the plurality of radiation directions
Data Source
AI summary
Radio frequency (RF)-based ranging and imaging in a wireless communications circuit, particularly for a wireless communications system (WCS) is provided. The wireless communications circuit includes an antenna circuit configured to radiate an RF probing signal in a number of directions in a wireless communications cell and receives a number of RF reflection signals corresponding to the RF probing signal. A radar signal processing (RSP) circuit is configured to process the RF reflection signals to detect an obstacle(s) in the wireless communications cell and generate a surrounding image that includes the detected obstacle(s). By generating the surrounding image of the wireless communications cell, it may be possible to detect the obstacle(s) that was not accounted for in an initial deployment design. As a result, it may be possible to adjust a remote unit(s) incorporating the wireless communications circuit to improve RF coverage, throughput, and/or capacity in the wireless communications cell.