Radio Coverage Configuration via Dynamic Power Adjustment
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Solution Overview
Problem
Current radio telecommunications networks face challenges in balancing effective radio coverage and minimizing interference, requiring manual intervention for configuration and optimization, which is inefficient and costly.
Innovation Solution
An automated method for configuring radio coverage by adjusting transmission power based on comparisons between effective and target coverages, using a radio coverage configuration entity that dynamically adjusts transmission power values for individual cells and their neighbors, eliminating the need for manual intervention during planning and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual human intervention is used to configure radio coverage parameters, then implementation flexibility and adaptability are improved, but productivity and operational efficiency deteriorate
Solution Approach 1:
The system performs automatic configuration of radio coverage parameters by analyzing propagation characteristics and determining optimal power levels without requiring manual human intervention. The configuration entity autonomously adjusts transmission power values based on measured signal strength and coverage requirements, enabling the network to self-optimize its radio coverage configuration.
Solution Approach 2:
The system continuously monitors signal propagation characteristics and uses this feedback to automatically adjust transmission power parameters. Measurements of received signal strength are fed back to the configuration entity, which then modifies power levels to optimize coverage while minimizing interference, creating a closed-loop control system that adapts to changing network conditions.
2Area of stationary object
If transmission power is increased to improve radio coverage, then coverage area is improved, but interference levels worsen
Solution Approach 1:
The system dynamically adjusts transmission power parameters based on measured propagation characteristics and coverage requirements. By optimizing power levels for each cell individually and adapting them to local conditions, the system achieves adequate coverage without excessive power that would cause harmful interference to neighboring cells.
Solution Approach 2:
The system determines optimal transmission power values specific to each cell's local conditions rather than using a uniform power level across the entire network. Each cell's power is adjusted based on its unique propagation characteristics, neighboring cells' positions, and coverage requirements, allowing localized optimization that balances coverage and interference minimization.
Data Source
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AI summary
A cellular radio communications network comprises a plurality of radio cells. A target radio coverage is associated with each of the radio cells. Each operational radio cell provides an effective radio coverage defined by a transmission power value of said radio cell. A given transmission power value is applied (21) to a given set of radio cells. Next, a radio cell is selected (22). Thereafter, cellular information is obtained (23) relating to a group of radio cells comprising the selected radio cell and neighbouring cells. On the basis of the cellular information, the effective radio coverages of the cells of said group and the respective target radio coverages of the cells of said group are compared (24). If the effective radio coverage of at least one cell of the group of radio cells is inferior to its target radio coverage (25), new transmission power values are applied (26) respectively to radio cells of said group of cells. Next, as appropriate, certain steps are iterated.