Cell Reselection Parameter Grouping in Heterogeneous Networks
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Solution Overview
Problem
Conventional systems face inefficiencies in cell reselection processes in heterogeneous networks due to the increased number of cells, leading to higher processing resources and network traffic, as they are limited in broadcasting Qoffset information for neighbor cells, which affects user experience and system efficiency.
Innovation Solution
Implementing a system that categorizes neighbor cells based on type and profile data to determine per category cell reselection parameters, such as Qoffset values, which are then transmitted to user equipment, allowing for optimized cell reselection and load balancing across different cell types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the serving cell broadcasts Qoffset information for each neighbor cell individually, then cell reselection accuracy is improved, but processing resources and network traffic increase significantly
Solution Approach 1:
The patent merges Qoffset information for multiple neighbor cells into a single group-based broadcast message. Instead of transmitting individual Qoffset values for each neighbor cell, the system groups neighbor cells and broadcasts a single Qoffset value applicable to the entire group, significantly reducing processing resources and network traffic while maintaining adequate cell reselection accuracy.
Solution Approach 2:
The patent implements a universal Qoffset value that applies to multiple neighbor cells within a group. This single Qoffset parameter serves multiple functions by providing offset information for cell reselection across several neighbor cells simultaneously, reducing the overall number of parameters that need to be broadcast and processed.
2Productivity
If the number of metro cells deployed within a macro cell coverage area increases, then network capacity and coverage are improved, but the amount of Qoffset information to be transmitted increases significantly
Solution Approach 1:
The patent applies grouping to merge multiple metro cells into fewer groups, where each group shares a common Qoffset value. This merging approach allows the network to support a large number of metro cells (improving network capacity) while transmitting significantly less Qoffset information compared to individual cell broadcasting.
Solution Approach 2:
The patent segments the set of neighbor cells into multiple groups based on geographic location or cell characteristics. By dividing the large number of metro cells into manageable groups, the system can broadcast a limited number of Qoffset values (one per group) rather than requiring individual Qoffset values for each cell, thus reducing information transmission requirements.
3Reliability
If individual Qoffset values are broadcast for each neighbor cell, then cell reselection optimization is improved, but network traffic and resources utilized for transmission increase
Solution Approach 1:
The patent combines Qoffset information for multiple neighbor cells into group-based broadcasts. This merging reduces the total volume of network traffic required for Qoffset transmission while maintaining reliable cell reselection optimization through the use of group-level offset values that capture the essential signal characteristics of each group.
Data Source
AI summary
A cell reselection procedure in heterogeneous networks is enhanced based on utilization of per category cell reselection parameters. In one aspect, a serving access point can categorize a set of neighbor access points based on cell-type and/or cell-profile data of a set of neighbor access points. Further, the serving access point can determine cell reselection parameters for the different categories. As an example, offset data (Qoffset) can be determined for the different categories. The per category cell reselection parameters can be transmitted to user equipment coupled to the serving access point to facilitate cell reselection. In one example, the per category cell reselection parameters reduce operational costs associated with processing and transmission of system parameters.