X2 Cell Reporting Using Selective vBBU Neighbor Advertising
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Solution Overview
Problem
Existing systems face inefficiencies in X2 cell reporting, leading to unnecessary network load and processing overhead due to broadcasting all cells, even when only a subset is relevant to neighboring macro eNodeBs, which is undesirable.
Innovation Solution
Implementing a mechanism to selectively advertise a subset of virtualized cells to macro eNodeBs by identifying cells that have reported the macro eNodeB as a neighbor or host cells reported by the macro eNodeB, thereby optimizing X2 cell reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all virtualized cells are advertised to macro eNodeB, then complete cell information is provided, but network load and processing overhead increase significantly
Solution Approach 1:
The patent extracts and advertises only the relevant subset of virtualized cells (those that have reported the macro eNodeB as a neighbor or host cells reported by the macro eNodeB) rather than all cells. This selective extraction reduces network load while maintaining necessary information completeness for mobility management.
Solution Approach 2:
The patent applies local quality by differentiating between relevant and irrelevant cells based on their relationship with the macro eNodeB. Cells with direct neighbor relationships are advertised with higher priority, while other cells are excluded, creating a localized optimization of information distribution.
2Loss of information
If all virtualized cells are advertised to macro eNodeB, then complete cell information is provided, but processing time increases due to encoding and decoding overhead
Solution Approach 1:
The patent extracts only the necessary subset of cell information for advertising, eliminating the need to encode and decode information for all virtualized cells. This reduces processing time while maintaining the completeness of relevant cell information.
3Loss of information
If unnecessary X2 connections are established, then all cells are covered, but system performance deteriorates due to increased overhead
Solution Approach 1:
The patent extracts and establishes X2 connections only for the relevant subset of virtualized cells that have actual neighbor relationships with the macro eNodeB. This eliminates unnecessary X2 connections while maintaining complete coverage of relevant cells, thereby improving system performance.
Solution Approach 2:
The patent applies partial action by establishing X2 connections for only the necessary subset of cells rather than all cells. This partial connectivity approach avoids the excessive overhead of universal connections while ensuring adequate coverage for mobility management.
Data Source
AI summary
Methods, systems and computer readable media are disclosed for providing optimized X2 cell reporting. In one embodiment a method includes selecting a subset of virtualized BaseBand Units (vBBU) vnodes to a macro peer that have either reported the X2 peer eNB as a neighbor, or host a cell that the X2 peer eNodeB (eNB) has reported as a neighbor while advertising the neighboring cells towards macro; and advertising cells of this subset of vBBU vnodes as served-cells in X2-Setup Request/Response towards a macro.