Antenna Beam Information Classification for Load Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mechanisms for cell shaping and load balancing in communications networks face challenges with measurement overhead and poor antenna parameter selection, leading to performance dips in coverage and capacity.
Innovation Solution
A method and network node that acquire and classify antenna beam information to perform load balancing and radiation beam pattern changes, optimizing antenna parameters by categorizing wireless device-specific beams relative to cell-specific beams, enabling joint optimization with neighbor cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing mechanisms perform additional measurements to determine neighbor cells for joint optimization, then the accuracy of neighbor cell identification improves, but measurement overhead increases
Solution Approach 1:
The patent extracts the essential information needed for neighbor cell identification from existing antenna beam data without requiring additional measurements. By utilizing the directional information already available from device-specific beams and cell-specific beams, the system identifies neighbor cells through data extraction rather than new measurement campaigns, thereby reducing measurement overhead while maintaining identification accuracy.
Solution Approach 2:
The system uses its own existing antenna beam information to perform neighbor cell identification and joint optimization decisions. Rather than relying on external measurement procedures, the network node leverages its own beamforming data structures and directional information to self-determine neighbor cell relationships, eliminating the need for separate measurement overhead.
2Productivity
If antenna parameters are changed to optimize cell performance, then network performance improves, but poor parameter selection causes performance dips
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors antenna beam information and device distribution patterns to dynamically adjust antenna parameters. By using real-time beam direction data and device location information, the system provides continuous feedback for parameter optimization, ensuring that changes are made based on actual network conditions rather than static configurations, thus avoiding performance dips from poor parameter selection.
Solution Approach 2:
The system transitions from static antenna parameter configurations to dynamic parameter adjustment based on real-time beam information. The antenna parameters are continuously adapted according to the distribution of devices and the directional characteristics of beams, allowing the system to respond flexibly to changing network conditions and maintain reliable performance coverage.
3Power
If device-specific beams are used to maximize antenna gain, then path gain towards wireless devices improves, but beam width becomes narrower reducing coverage area
Solution Approach 1:
The patent segments the coverage area into multiple directional sectors using device-specific beams. Instead of relying on a single wide cell-specific beam, the system divides the coverage space into narrower beam segments targeted at specific devices or device groups. This segmentation allows each beam to provide high gain to its specific target while collectively covering the entire service area through multiple segmented beams.
Solution Approach 2:
The system applies local quality optimization by providing high-gain narrow beams to specific devices where needed, rather than using a uniform wide beam for all devices. Each device-specific beam is optimized locally for its target device's position and requirements, maximizing antenna gain in specific directions while maintaining overall coverage through the combination of multiple locally-optimized beams.
Data Source
AI summary
There is provided a method for utilizing antenna beam information. The method is performed by a network node. The method comprises acquiring antenna beam information indicative of a direction of a wireless device (WD) specific beam of the network node. The method comprises classifying the acquired antenna beam information into a cell specific beam category based on an angular difference between the direction and a direction of main lobe of a cell specific beam of the network node. The method comprises performing at least one of a load balancing action of the wireless device and a radiation beam pattern change related to the cell specific beam category.