Antenna Radiation Diagram Selection for Mobile Networks
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Solution Overview
Problem
Automating the selection of radiation diagrams for antennas in mobile-radio communication networks, particularly for second- and third-generation networks, to optimize network performance and reduce the number of required radio base stations.
Innovation Solution
A method that classifies available radiation diagrams, estimates indicators of network operative functionality, and uses a transition-gain matrix to automatically select the best radiation diagram configuration for each cell, considering both traditional and reconfigurable antennas, to optimize coverage and interference levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of radiation diagrams is performed, then expertise and precision can be applied, but the process is time-consuming and difficult to automate
Solution Approach 1:
The system performs automated self-evaluation of radiation diagram options using pre-configured criteria and algorithms. The selection process serves itself by automatically computing coverage metrics, interference levels, and performance scores without requiring continuous human intervention or expertise
Solution Approach 2:
The manual expert evaluation process is replaced with an automated computational system that uses algorithms to calculate and compare radiation diagram performance. The mechanical/manual selection process is substituted with electronic computation and automated decision-making software
2Adaptability or versatility
If the number of radiation diagram options is increased, then the potential for optimal network performance improves, but the complexity of the selection process increases
Solution Approach 1:
The selection process is segmented into distinct evaluation dimensions (coverage quality, interference levels, capacity metrics, backhaul constraints). Each radiation diagram option is independently scored against these segmented criteria, making the complex multi-factor selection process more manageable and systematic
Solution Approach 2:
The system evaluates radiation diagrams by changing and comparing multiple parameters simultaneously (gain values, beam widths, directional characteristics). By systematically varying and assessing these parameters against network requirements, the system can handle increased option diversity without proportionally increasing complexity
3Productivity
If traditional antennas are used, then the system is simpler, but reconfigurable antennas provide better network performance optimization
Solution Approach 1:
The system supports both static (traditional) and dynamic (reconfigurable) antenna configurations. Reconfigurable antennas can adapt their radiation patterns in real-time based on changing network conditions, traffic demands, and interference environments, providing superior optimization compared to fixed traditional antennas
Solution Approach 2:
The selection system is designed to universally handle multiple antenna types and configurations within a single framework. It can evaluate and select among traditional fixed antennas, reconfigurable antennas, and various radiation diagram options, making the system multi-functional and adaptable to different deployment scenarios
Data Source
AI summary
The radiation diagram of an antenna for serving a cell in a cellular communication network is selected from a plurality of available radiation diagrams by: classifying the plurality of available radiation diagrams in terms of a related radiation gain value; identifying for each one of the sectors a plurality of variations of the radiation gain value associated with the available radiation diagrams; estimating for each sector an initial value of at least one indicator of network operative functionality; estimating for each sector at least a desiderate value of variation of the related radiation gain value; and selecting at least one configuration that approximates the variation of the radiation gain value involving the desiderate value.