Indoor Wireless Blind Spot Detection via 3D Spatial Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for maintaining and upgrading indoor wireless networks are time-consuming and inefficient, particularly in identifying blind coverage areas and faulty devices, as they rely on manual field measurements and cannot monitor network status in real-time.
Innovation Solution
A method that uses a combination of constructing a three-dimensional spatial model, creating a wireless signal fingerprint database, and analyzing user equipment measurement reports to precisely locate problem areas within indoor wireless networks without the need for on-site measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual field measurements are used to locate blind coverage areas and problem devices, then measurement accuracy can be achieved, but maintenance time and operational complexity increase significantly
Solution Approach 1:
The patent creates a virtual three-dimensional model that copies the physical indoor wireless network environment, including base station locations, coverage areas, and signal characteristics. This virtual model allows maintenance personnel to locate problem areas and faulty devices by analyzing measurement reports within the simulated environment, eliminating the need for time-consuming manual field measurements while maintaining location accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-establishing the three-dimensional spatial model and pre-calculating coverage areas and signal characteristics before actual maintenance operations. When measurement reports indicate problems, the system can immediately query the pre-built model to locate blind coverage areas and faulty devices, significantly reducing response time compared to traditional manual field measurements.
2Reliability
If traditional maintenance methods based on customer complaints are used, then problem identification can occur, but real-time monitoring capability is lost
Solution Approach 1:
The patent implements a feedback mechanism where user equipment automatically sends measurement reports containing signal strength, cell identification, and location information to the network side. The system continuously processes these reports, compares them against the three-dimensional model, and identifies problems such as blind coverage areas and faulty base stations in real-time, enabling proactive maintenance before customer complaints arise.
Solution Approach 2:
User equipment automatically performs measurements and generates measurement reports without requiring manual intervention from maintenance personnel. The system self-monitors network quality by collecting data from multiple user equipment devices, automatically analyzing the reports, and identifying problem areas, thereby eliminating the need for dedicated field measurement teams.
3Productivity
If wireless measurement reports are used to monitor network status, then real-time data collection is achieved, but the ability to precisely locate problem areas is reduced
Solution Approach 1:
The patent transforms two-dimensional measurement report data into three-dimensional location information by integrating the reports into a three-dimensional spatial model. The system uses the user equipment's movement trajectory, signal strength variations across multiple measurement points, and base station geometry to triangulate and precisely locate problem areas in three-dimensional space, overcoming the limitation of traditional two-dimensional analysis.
Solution Approach 2:
The system segments the indoor wireless network into multiple three-dimensional spatial cells, each associated with specific base stations and coverage characteristics. By dividing the service area into discrete segments, the system can precisely identify which specific segment contains a blind coverage area or problem device, improving location accuracy from general area identification to specific segment-level precision.
Data Source
AI summary
Method of positioning blind coverage regions in an indoor wireless network. The method comprises the following steps: constructing an indoor and outdoor combined three-dimensional spatial structural model of a target scene; recording and storing information of wireless access equipment which can be received by the target scene, both from the indoor wireless network and from an outdoor (e.g., cellular) network with overlapping coverage; establishing a wireless fingerprint database of the target building covering both the indoor and the outdoor wireless networks; when loss of coverage is detected, the UE handing over to the outdoor network to transmit a measurement report from which the outdoor network can derive the UE's position (e.g., through triangulation); deriving the UE's position in the indoor area by superimposing the obtained information on the fingerprinting database (by analyzing only those cell-Id's that appear on the MR) and interpolating the result (mean square error); if the obtained position is covered by the fingerprinting database (i.e., it is in the indoor area), determining that the position corresponds to a blind coverage area inside the indoor wireless area; otherwise, assuming that the UE has left the building and a normal handover has taken place.