Quantum Computing for Granular UE Location in Mobile RANs
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Solution Overview
Problem
Current wireless network technologies face challenges in accurately determining the granular location of user equipment (UE) in radio access networks (RANs), especially with mobile base stations that are moving rapidly, as existing methods are inefficient in handling dynamic changes in UE and base station locations.
Innovation Solution
The implementation of quantum computing techniques for precise UE location determination using triangulation and network-based methods, which incorporate multi-dimensional data processing to account for factors like temporal and spatial parameters, and optimize network parameters such as beamforming and handover thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional triangulation methods are used to determine UE location, then location determination can be performed, but the precision and speed are insufficient for rapidly moving mobile base stations and UEs
Solution Approach 1:
The patent implements dynamic location determination that continuously updates UE position based on real-time signal measurements from multiple base stations. The system adapts to rapidly changing conditions by recalculating location coordinates (x, y, z) and associated uncertainties (σx, σy, σz) as base stations and UEs move, ensuring precision is maintained despite motion-induced changes in geometric relationships.
Solution Approach 2:
The patent extends traditional 2D triangulation to 3D spatial determination by incorporating vertical dimension measurements. The system calculates three-dimensional position coordinates (x, y, z) and three-dimensional uncertainties (σx, σy, σz), enabling accurate location determination in three-dimensional space rather than limited to two-dimensional planes, which significantly improves precision for mobile scenarios.
2Productivity
If quantum computing techniques are implemented for precise UE location determination, then location precision and processing speed improve, but system complexity increases
Solution Approach 1:
The patent introduces a quantum computing intermediary system that acts as a specialized processing unit between the radio access network and the location determination function. This quantum intermediary handles the computationally intensive multi-dimensional calculations and optimization problems, while the classical network infrastructure maintains its existing architecture, thus achieving high-speed processing without completely redesigning the entire system.
Solution Approach 2:
The patent replaces classical computational mechanics with quantum computational mechanics for specific location determination calculations. By utilizing quantum algorithms and quantum processing units, the system achieves exponential speedup in solving the complex optimization problems inherent in multi-dimensional triangulation, while classical systems handle peripheral functions.
Data Source
AI summary
Embodiments described herein provide for the granular network-based detection of UE location in a RAN that includes one or more mobile base stations using quantum computing. Mobile base stations may be, for example, affixed on vehicles (e.g., cars, trucks, drones, etc.), may be implemented by other UEs, and/or may otherwise be non-stationary. In contrast, fixed base stations may be mounted to towers, buildings, or other types of permanent or semi-permanent installations. Quantum computing techniques, as described herein, may aid in the precise determination of UE location using triangulation techniques and/or other network-based location techniques. Further, in RANs that include mobile base stations, the locations of both the UE and a reference point may change relatively rapidly. The use of quantum computing, as described herein, may aid in the fast and precise determination of UE location in situations where mobile base stations and/or UEs are moving rapidly.