UE Load Reporting for SON Handover Optimization
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Solution Overview
Problem
Current Self-Organized Networks (SONs) in 5G communication systems face challenges in efficiently managing handover requests due to insufficient information about the additional load imposed by user equipment (UE) on target cells, leading to potential overloading and suboptimal decision-making, particularly in resource allocation and energy saving.
Innovation Solution
A method where User Equipment (UE) collects and reports load information, including radio and virtual resource usage, to the serving cell, which forwards this information to the Management Data Analytics (MDA) module, enabling target cells to predict and decide on handover requests based on projected resource requirements, using mechanisms like Minimisation of Drive Tests (MDT) for accurate reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current SON handover mechanisms are used, then handover decisions can be made quickly, but target cells may become overloaded due to insufficient load information
Solution Approach 1:
The UE collects and reports load information about visited cells to the serving cell before handover decisions are made. The serving cell then forwards this information to the MDA module for analysis, enabling target cells to predict resource requirements in advance and make informed handover decisions, preventing target cell overload.
Solution Approach 2:
The Management Data Analytics (MDA) module acts as an intermediary between the UE/serving cell and the target cell. It receives load information, performs analytics to predict resource requirements, and provides insights that enable accurate handover decisions while preventing target cell overload.
2Productivity
If detailed load information is collected and reported, then handover optimization improves, but network signaling overhead increases
Solution Approach 1:
The patent extracts only the necessary load information (radio resource load and virtual resource load) from the UE's visited cell data and reports it to the serving cell. The serving cell then forwards this extracted information to the MDA module, which performs analytics to generate handover recommendations. This selective extraction and analytics approach optimizes handover decisions while minimizing unnecessary signaling overhead.
3Ease of operation
If traditional RSRP-based handover framework is used, then handover decisions are simple to make, but they are insufficient for virtualized network resources
Solution Approach 1:
The patent extends the handover framework to handle both traditional radio resources and virtualized resources (CPU, memory, storage) uniformly. The UE collects load information for both resource types, the MDA module performs analytics on this combined information, and handover decisions consider both radio and virtual resource availability, making the system adaptable to diverse resource types in virtualized networks.
Data Source
AI summary
Disclosed is a method of operating a telecommunication network comprising the steps of: a User Equipment, UE, collecting information related to a load that it imposes on a visited cell, wherein the load comprises a radio resource load and a virtual resource load; the UE reporting the information to a serving cell, in response to a request for the information.