Cell Handover Server Network Slice Selection
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Solution Overview
Problem
Current cellular network handover methods rely on latency and throughput, which do not accurately represent the needs of user devices, leading to inefficient resource utilization and potential disruptions in network slicing.
Innovation Solution
Implementing a system where a cell handover server identifies and selects cells that support the same network slice as the user device, based on network traffic load, quality of service, and other characteristics, to ensure seamless handover and maintain network slicing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If load balancing based on latency and throughput is used for handover, then network traffic distribution is improved, but network slicing continuity is compromised
Solution Approach 1:
The patent applies local quality by making the handover decision dependent on the specific network slice requirements. Different network slices receive different handover criteria based on their specific QoS needs, rather than applying a uniform load balancing approach to all traffic. This ensures that critical slices maintain continuity while less critical slices can utilize load balancing opportunities.
Solution Approach 2:
The patent changes the handover parameters from generic metrics (latency, throughput) to slice-specific parameters that include network slice identification and slice-compatible cell selection. This parameter transformation allows the system to simultaneously consider load balancing and slice continuity by evaluating both general network conditions and slice-specific requirements.
2Speed
If generic handover criteria are used, then handover speed is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-identifying and storing the network slice information and compatible cell list for each user device before handover is needed. When handover becomes necessary, the system can quickly retrieve this pre-computed information and make a rapid decision, achieving fast handover without sacrificing resource optimization.
Solution Approach 2:
The system transforms the handover evaluation from considering only speed-related parameters to including resource efficiency parameters specific to each network slice. This allows the handover process to be both fast and resource-efficient by evaluating slice-specific resource requirements alongside speed considerations.
Data Source
AI summary
Systems and methods to utilize user device network slicing and cell support to manage handover of communications for user device. A request to handover management of a user device from a first cell to a second cell is received. One or more possible cells for the handover are then identified. If the user device is utilizing network slicing, then the second cell is selected from the one or more possible cells based on that cell also supporting network slicing. If the cell supports the same network slice as being utilized by the user device, then the handover of the user device to the second cell is initiated.