Cooperative Sensing Beam Control for Coverage Holes and Overlap
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Solution Overview
Problem
Existing radio communication networks face challenges in achieving efficient and comprehensive sensing coverage due to geographical constraints, obstacles, and overlap areas when using multiple sensing nodes with varying beam arrangements, leading to gaps in coverage.
Innovation Solution
An orchestrating entity coordinates sensing communication devices to adjust beamforming parameters, optimizing coverage by using narrow or wide beams based on geographical constraints and resource availability, ensuring ubiquitous and efficient sensing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple sensing nodes with varying beam arrangements are deployed to improve sensing coverage, then sensing area expands, but coverage gaps and overlaps increase due to geographical constraints and obstacles
Solution Approach 1:
The patent implements dynamic beam adjustment where the orchestrating entity continuously monitors coverage holes and adjusts beamforming parameters in real-time. The system transitions from static beam configurations to dynamic adaptation based on detected coverage deficiencies, allowing the sensing network to respond to changing environmental conditions and optimize coverage patterns adaptively
Solution Approach 2:
The system employs feedback mechanisms where sensing nodes report coverage information and detection results to the orchestrating entity. Based on this feedback, the orchestrating entity identifies coverage holes and adjusts beamforming parameters accordingly, creating a closed-loop control system that continuously improves coverage completeness through iterative optimization
2Measurement precision
If narrow beams are used to increase sensing precision and reduce overlap, then measurement precision improves, but time to cover designated area increases
Solution Approach 1:
The patent divides the designated sensing area into multiple zones or sectors that can be covered by different beams simultaneously. The orchestrating entity coordinates multiple beams to segment the coverage task, allowing parallel scanning of different regions while maintaining narrow beam precision, thereby reducing total coverage time without sacrificing measurement accuracy
Solution Approach 2:
The system transitions from sequential single-beam scanning to parallel multi-beam operation, adding the dimension of temporal parallelism. Multiple narrow beams operate simultaneously across different spatial dimensions, maintaining precision while dramatically reducing the time required to cover the entire designated area
3Productivity
If wide beams are used to decrease coverage time and increase area coverage, then productivity improves, but sensing precision and overlap control deteriorate
Solution Approach 1:
The system dynamically adjusts beamwidth based on operational requirements and environmental conditions. The orchestrating entity can switch between narrow and wide beam configurations as needed, optimizing the balance between coverage speed and precision for different sensing scenarios rather than being constrained to a fixed beamwidth
4Productivity
If beamforming parameters are adjusted to optimize coverage and minimize gaps, then sensing efficiency improves, but device complexity increases due to coordination requirements
Solution Approach 1:
The orchestrating entity serves multiple functions: it coordinates beamforming parameters, monitors coverage holes, adjusts beam configurations, and manages resource allocation. By consolidating these diverse functions into a single multi-functional entity, the system improves sensing efficiency without proportionally increasing overall system complexity
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 approach enhances sensing coverage by minimizing gaps and overlaps, optimizing resource utilization, and improving sensing efficiency across designated geographic areas.
Implementation Method 1
a beamforming controller configured to determine a set of beamforming parameters for controlling a set of antenna elements of the plurality of antenna elements to transmit a plurality of sensing signals in a plurality of different directions respectively
Implementation Method 2
radar systems may utilize electromagnetic waves to detect and track targets by analyzing the reflected signals
Data Source
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Figure 3A~3B
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AI summary
An apparatus including a memory and a processor configured to: determine a plurality of coverage areas of a plurality of radio access nodes based on locations and functionalities of the plurality of radio access nodes, identify one or more coverage holes within the plurality of coverage areas based on sensing operation outputs of the plurality of radio access nodes, and determine one or more beams associated with the plurality of radio access nodes based on the plurality of coverage areas and the one or more coverage holes.