Neighboring Cell List Definition Using Mobility Paths
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Solution Overview
Problem
Current methods for defining neighboring cell lists (NBR sets) in cellular networks do not accurately reflect the probability of hand-over requests, as they do not adequately consider user motion paths, leading to inclusion of unlikely cells and exclusion of likely ones, resulting in inefficient hand-over procedures.
Innovation Solution
The method involves describing user mobility paths using vectorial cartographic layers and including cells in the NBR set only if they are connected by these paths, along with assessing potential hand-over criticalities based on user motion speeds and permanence times, to refine the NBR sets during network planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If neighboring cells are defined based on topological adjacency or geometric proximity, then the NBR set includes all potentially adjacent cells, but this results in inclusion of unlikely hand-over cells and exclusion of likely ones, reducing hand-over efficiency
Solution Approach 1:
The patent applies local quality by differentiating the treatment of neighboring cells based on their specific characteristics. Instead of uniformly treating all topologically adjacent cells equally, the method assigns different weights and probabilities to cells based on their geometric relationship with the current cell and their presence in mobility paths. This allows the system to prioritize cells that are more likely to be involved in hand-overs while de-emphasizing less likely candidates, thereby improving hand-over success rate without simply reducing the number of cells considered.
2Productivity
If the NBR set includes all topologically adjacent cells, then coverage is comprehensive, but the size of the set increases, leading to longer measurement campaigns and reduced productivity
Solution Approach 1:
The patent applies partial action by selectively including only the most relevant neighboring cells in the NBR set rather than comprehensively including all topologically adjacent cells. The method calculates a probability value for each neighboring cell based on its geometric relationship with the current cell and its occurrence in mobility paths, then includes only cells above a threshold probability. This partial approach reduces the NBR set size to a manageable level, thereby shortening measurement campaign duration and improving productivity while maintaining sufficient coverage for effective hand-overs.
3Measurement precision
If mobility path information is integrated into NBR set definition, then hand-over accuracy improves, but network planning complexity increases
Solution Approach 1:
The patent applies the intermediary principle by introducing mobility path data as a mediating factor between the network planning system and the hand-over decision-making process. Instead of directly analyzing complex user movement patterns, the system uses pre-processed mobility path information (stored as vectors describing sequences of cells) as an intermediary resource. This intermediary data structure simplifies the planning process by providing ready-to-use statistical information about user movement patterns, which can be directly queried to determine cell probabilities without requiring complex real-time analysis of actual user trajectories.
Data Source
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AI summary
A method for defining lists of neighboring cells of a cellular radiocommunications network, comprising: obtaining a description of mobility paths (110-1-110-5) followed by users of mobile communications terminals in a geographic area of interest (100); and including a first cell in the list of neighboring cell of a second cell in case, based on the mobility paths description, it is ascertained that there is a mobility path joining the first and the second cells.