Beamforming Optimization via Spatial Grid Synthesis
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Solution Overview
Problem
Current beamforming systems in high traffic density regions face challenges in optimizing beam selection efficiently, requiring extensive radio and traffic measurements that burden resources and are not optimized for all available beams, often relying on geo-localization and additional requests for terminal device locations.
Innovation Solution
The implementation of a computing system that generates spatial grids and calculates optimal beam configurations using existing radio measurements, evaluating beam-specific RSRP values and traffic density without iteratively transmitting through all beams, thereby reducing resource burden and eliminating the need for geo-localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional beam optimization methods are used, then beamforming performance can be optimized, but the resource burden increases due to extensive radio and traffic measurements
Solution Approach 1:
The patent creates a virtual copy of the beamforming optimization process by using synthesized beam measurement data instead of actual physical measurements. The system generates synthetic RSRP values for all possible beam configurations based on traffic density maps and beam pattern models, allowing the optimization to proceed without exhaustive real-world measurements while maintaining optimization accuracy.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating beam pattern characteristics and traffic density distributions before the actual beam selection process. The system pre-generates spatial traffic density maps and beam-specific RSRP profiles based on historical data and models, so that when optimization is needed, it can quickly select beams without performing new extensive measurements.
2Reliability
If all available beams are evaluated for optimization, then optimal beam selection is achieved, but the measurement burden and system complexity increase
Solution Approach 1:
The patent changes the parameters used for beam evaluation from actual measured RSRP values to synthesized RSRP values derived from traffic density maps and beam pattern models. This parameter transformation allows the system to evaluate all possible beams using computational models rather than physical measurements, reducing measurement complexity while maintaining evaluation comprehensiveness.
Solution Approach 2:
The patent introduces an intermediary layer between the beam selection process and the physical radio environment. Instead of directly measuring all beam configurations in the real radio environment, the system uses synthesized data as an intermediary that represents the physical conditions, enabling comprehensive beam evaluation through computational models rather than exhaustive physical measurements.
3Measurement precision
If geo-localization and additional requests for terminal device locations are used, then accurate beam optimization is possible, but the system complexity and resource consumption increase
Solution Approach 1:
The patent extracts the essential information needed for beam optimization from the complex geo-localization process. Instead of requiring precise terminal device location data and complex geo-localization algorithms, the system extracts beam-specific RSRP values directly from synthesized data models that incorporate traffic density and beam pattern information, eliminating the need for additional location requests while maintaining optimization accuracy.
Data Source
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AI summary
Computing system, method and computer readable medium for ensuring coverage, maximizing beamforming gain and received power wherein information on terminal devices, dictionary of beams and spatial grid are maintained in a memory, wherein each terminal device is mapped to the spatial grid based on up-to-date results of radio measurements of the terminal devices; wherein for each spatial element of the spatial grid, a load caused by the terminal devices is calculated based at least on the mapping; wherein for each combination of a beam and a terminal device, a RSRP is evaluated based on results of radio measurements for the corresponding terminal device; wherein a first map of expected spatial distribution of traffic is calculated; wherein for each beam, a second map of expected RSRP is calculated; and wherein performing Grid of Beams beamforming optimization is caused based on the first map and second maps.