Network Node Cell Grouping for Signaling Overhead Reduction
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Solution Overview
Problem
In wireless communication systems, especially with a large number of cells, the conventional methods for managing neighbor cell relations in LTE and 5G networks require excessive sharing of information, leading to increased signaling overhead and inefficiencies in handling handovers and interference coordination.
Innovation Solution
The solution involves grouping cells into different sets, each with specific cell information, allowing for tailored information exchange between network nodes, reducing the need for detailed information about non-direct neighbors and optimizing signaling by using pre-defined rules or distance-based grouping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all served cells information is shared between network nodes, then complete neighbor cell relations are established, but signaling overhead increases excessively
Solution Approach 1:
The patent segments the complete list of served cells into multiple subsets, where each subset contains cells with similar characteristics (e.g., geographic location, frequency, or other relevant attributes). Instead of transmitting all cell information in one comprehensive message, the network node transmits multiple smaller messages, each containing information about a specific subset of cells. This segmentation reduces the signaling overhead for each individual message while maintaining complete neighbor cell relation information across all transmitted subsets.
2Manufacturing precision
If detailed information about all cells is transmitted, then accurate handover and interference coordination are achieved, but network complexity increases
Solution Approach 1:
The patent applies local quality by transmitting different levels of information detail for different cell subsets based on their specific characteristics and relevance to the receiving node. Critical cells (e.g., direct neighbors) receive detailed information including all necessary parameters for handover and interference coordination, while less critical cells receive simplified information. This selective information transmission maintains handover accuracy for important cells while reducing overall network complexity.
3Reliability
If complete cell information is exchanged, then all neighbor relations are properly configured, but information redundancy increases
Solution Approach 1:
The patent extracts and transmits only the essential and relevant information for each cell subset based on the specific neighbor relation requirements. Instead of transmitting complete cell information for all cells, the system identifies and extracts only the necessary parameters for each subset, such as cell identity, frequency, and location-specific parameters. This extraction approach maintains complete neighbor configuration while eliminating redundant information that is not needed for specific neighbor relations.
Data Source
AI summary
A first network node is configured to: group served cells into a first set of cells and at least one second set of cells, the cells in the first set of cells being associated with a first set of cell information and cells in the second set of cells being associated with a second set of cell information; generate a setup request including a first indication indicating the first set of cells and their respective first set of cell information and the second set of cells and their respective second set of cell information; and transmit the setup request to the second network node. The second network node is configured to receive a setup request from a first network node, the setup request including a first indication.