Cell Parameter Configuration Using Radio Environment Maps
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Solution Overview
Problem
Existing methods for configuring parameters in cellular networks, such as PCI and RACH Root Sequence, do not effectively account for the interdependence of cell parameters across surrounding cells, leading to potential collisions and confusions, especially during network initialization and deployment of new cells.
Innovation Solution
The method involves creating Level 1-Radio Blocks based on transmission power, pre-allocating parameter values within these blocks, and using Received Signal Strength computations to select optimal values that avoid collisions, ensuring unique assignments for each cell.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parameter values are assigned without considering surrounding cells, then configuration process is simple and fast, but parameter collisions and confusions occur between cells
Solution Approach 1:
The patent pre-allocates parameter value pools to Level 1-Radio Blocks before cell deployment. This preliminary action ensures that when cells are configured, they automatically receive non-conflicting parameter values from their designated pools, eliminating the need for complex real-time coordination while preventing parameter collisions between surrounding cells.
Solution Approach 2:
The patent divides the geographic area into Level 1-Radio Blocks and further into Level 2-Radio Blocks, creating hierarchical segments. Each segment has its own parameter value pool, which isolates parameter assignments to local regions. This segmentation prevents parameter collisions between cells in different segments while keeping each segment's configuration process simple and independent.
2Reliability
If parameter pools are pre-allocated to Level 1-Radio Blocks, then parameter collisions are avoided, but memory usage increases
Solution Approach 1:
The patent creates parameter value pools locally for each Level 1-Radio Block based on the specific deployment needs and cell classes expected in that region. Instead of maintaining a single global pool or redundant pools in every cell, each block has its own optimized pool, using memory efficiently while ensuring parameter uniqueness within the block's geographic area.
3Measurement precision
If Received Signal Strength computation is performed for each Level 2-Radio Block, then optimal parameter selection is achieved, but computation time increases
Solution Approach 1:
The patent divides the geographic area into Level 2-Radio Blocks with typical granularity of 10x10 meters, creating manageable segments for RSS computation. This segmentation allows the system to compute RSS at a practical granularity level, achieving sufficient precision for parameter selection without the excessive computation time that would result from evaluating every possible location continuously.
4Productivity
If parameter configuration is performed manually, then flexibility is maintained, but configuration time and human resources increase
Solution Approach 1:
The patent implements an automated system where the network controller autonomously performs Level 1-Radio Block creation, parameter pool pre-allocation, Level 2-Radio Block creation, RSS computation, and optimal parameter selection. The system serves itself by automatically configuring parameters for new cells without human intervention, dramatically increasing configuration speed while the modular architecture keeps the automation complexity manageable.
Data Source
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AI summary
The present invention provides a method to automatically configure parameters used to operate a new cell belonging to a network of cells in an optimized manner, using a radio environment map. As the density of cells deployed in a radio network increases, configuration of cells becomes more and more complex and therefore difficult to achieve manually. Some radio parameters used during cell operation can be configured automatically, upon installation, or reconfigured during operation. In order to properly configure a cell, it is necessary to know the deployment of surrounding cells. For example, the value of the PCI (Physical Cell Identifier) configured at two cells whose radio coverage is overlapping should be different in order to avoid PCI collisions. Similarly, the RACH Root Sequence configured at two cells whose radio coverage is overlapping should be different in order to minimize inter-cell RACH interference. The present invention provides a method to automatically configure radio parameters used to operate a cell belonging to a network of cells in an optimized manner, using a radio environment map.