Neighbor Cell Signaling Allocation Indicators for Mobility Measurement
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Solution Overview
Problem
Current wireless telecommunications systems face challenges in accurately and efficiently providing mobility measurements for user equipment (UE) due to the high overhead and complexity of signaling MBSFN sub-frame allocation in neighbor cells, leading to reduced accuracy and increased erroneous handovers.
Innovation Solution
Each cell broadcasts a one-bit indicator on a common channel to signal whether the unicast or MBSFN sub-frame allocation is the same or different from neighbor cells, allowing UE to adjust its resource element measurements accordingly, thereby maximizing the number of eligible RS resource elements for mobility measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full MBSFN sub-frame allocation information is signaled for neighbor cells, then measurement accuracy is improved, but signaling overhead and system complexity increase significantly
Solution Approach 1:
The patent segments the neighbor cells into multiple groups, where each group shares the same unicast/MBSFN sub-frame allocation pattern. Instead of signaling allocation information for each individual neighbor cell, the system signals one allocation pattern per group, dramatically reducing signaling overhead while maintaining measurement accuracy for all cells in the group.
Solution Approach 2:
Instead of directly signaling the absolute MBSFN sub-frame allocation for each neighbor cell, the patent inverts the approach by signaling a relative offset value that indicates the difference between the serving cell's allocation and the neighbor cell group's allocation. This inversion reduces the number of bits required for signaling.
2Reliability
If detailed MBSFN sub-frame allocation signaling is implemented for all neighbor cells, then mobility measurement reliability is improved, but overhead increases reducing system efficiency
Solution Approach 1:
The patent merges multiple neighbor cells that share identical or similar unicast/MBSFN sub-frame allocation patterns into single groups. By combining these cells and signaling a common allocation pattern for the group, the system reduces redundant signaling overhead while ensuring reliable mobility measurements for all member cells.
Solution Approach 2:
The patent implements partial signaling by providing complete MBSFN allocation information only for the serving cell, and using compact offset indicators for neighbor cell groups. This partial action approach provides sufficient information for accurate measurements without the excessive overhead of full detailed signaling for all cells.
3Measurement precision
If per-cell MBSFN sub-frame allocation signaling is used, then measurement precision is improved, but the number of required signaling bits increases
Solution Approach 1:
The patent applies local quality by providing detailed MBSFN allocation information locally for the serving cell where the UE is currently camped, while using compressed offset indicators for neighbor cells. This localized detailed information approach ensures accurate measurements for the serving cell while reducing overall signaling bit requirements for neighbor cells.
Solution Approach 2:
The patent changes the parameter representation from absolute MBSFN allocation values to relative offset values. By defining an offset parameter that represents the difference between serving cell and neighbor cell group allocations, the system reduces the number of bits required while maintaining the ability to accurately determine RS resource elements for mobility measurements.
Data Source
AI summary
A method, user equipment, network device, and software product employ indicators from a plurality of respective cells to indicate a difference, if any, regarding allocation in the respective cell as compared to neighbor cells. Mobility measurements are then performed according to the indicators, and also on the basis of configuration of a cell where the measurements are performed.