RNA Allocation Method for 5G Network Signaling Overhead Reduction
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Solution Overview
Problem
Current 5G communication technologies lack an effective method for determining which cell should be included in the reallocation of a Radio Resource Control (RRC) inactive state's Radio Resource Allocation (RNA) when a terminal moves between network devices, leading to inefficient RNA updates and increased signaling overheads and power consumption.
Innovation Solution
The method involves a network device receiving information about the terminal's recently accessed RNA, including cell identification and stay duration, to accurately reallocate the RNA based on the terminal's moving track and support for the inactive state, reducing aperiodic RNA updates and signaling overheads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RNA is reallocated when terminal moves to new network device, then RNA allocation adaptability is improved, but signaling overhead increases
Solution Approach 1:
The patent applies local quality by making RNA allocation decisions based on local terminal behavior characteristics (stay duration in specific cells) rather than applying uniform allocation rules. The network device evaluates terminal-specific factors such as recent access patterns and dwell times to determine whether RNA reallocation is necessary, thereby adapting RNA allocation to local terminal needs while avoiding unnecessary signaling for terminals that show no movement intent.
2Measurement precision
If RNA reallocation is performed based on terminal movement, then RNA allocation accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements partial action by performing RNA reallocation only when terminal behavior indicators (such as stay duration exceeding threshold or accessing multiple different cells) suggest actual movement intent. Instead of reallocating RNA for every cell change, the system selectively applies reallocation based on partial evidence of movement, thereby improving allocation accuracy for mobile terminals while avoiding unnecessary operations that would increase power consumption for stationary terminals.
3Use of energy by moving object
If aperiodic RNA updates are reduced, then power consumption is reduced, but RNA update timeliness may worsen
Solution Approach 1:
The patent employs feedback mechanisms by monitoring terminal access patterns and stay durations to dynamically adjust RNA update timing. The network device receives feedback from terminals about their location and movement behavior, then uses this information to determine whether immediate RNA reallocation is necessary or if updates can be deferred. This feedback-driven approach ensures that RNA updates occur timely when terminals are mobile while allowing power-saving delays when terminals are stationary.
Data Source
AI summary
This application provides an RNA allocation method, a network device, and a terminal. The method includes receiving, by a first network device, a second message sent by a second network device, where the second message carries RPA information of the second network device, and the RPA information is used to identify an RPA. The method also includes sending, by the first network device, a third message to the second network device.