RRC Information Element Execution Timing Control
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately controlling the execution of RRC information elements, leading to signaling overhead and delay, which can result in communication interruptions or failures.
Innovation Solution
The proposed method allows the terminal to execute RRC information elements based on conditions configured by the network, but also enables the terminal to make accurate judgments about the optimal timing for execution, reducing the need for precise pre-configuration by the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the terminal reacts all situations to the network and waits for the network to make a decision, then the network can make accurate decisions, but this inevitably introduces delay and may lead to communication interruption or failure
Solution Approach 1:
The network pre-configures execution conditions for RRC information elements in advance, enabling the terminal to autonomously execute decisions when conditions are met, avoiding real-time network intervention and reducing decision delay while maintaining accuracy through pre-planned conditions
2Loss of time
If the network pre-configures execution conditions for RRC information elements, then the terminal can execute autonomously reducing delay, but this puts high demands on the network to configure accurate conditions, especially in complex channel environments
Solution Approach 1:
The system changes the parameters of execution conditions from highly specific and accurate requirements to more general and flexible conditions, allowing the terminal to use its local capabilities (AI algorithms, measurement results, self-information) to determine optimal execution timing, thereby reducing network configuration complexity while maintaining effectiveness
3Quantity of substance
If measurement results are quantized and compressed to save signaling overhead, then signaling overhead is reduced, but this invariably brings some errors
Solution Approach 1:
The terminal uses its own local capabilities (AI algorithms, measurement results, self-information about processing power and communication habits) to autonomously determine execution timing, eliminating the need for the network to process and respond to detailed measurement reports, thus achieving both reduced signaling overhead and maintained accuracy through the terminal's self decision-making
Data Source
AI summary
The present application comprising receiving a first signaling, the first signaling comprising a first RRC information element, the first signaling configuring a first condition set and a first time window; there existing a dependency relation between the first condition set and the first time window; an execution of the first RRC information element depending on the first condition set; herein, the first RRC information element configures a target cell of the first node; the meaning of the phrase that an execution of the first RRC information element depends on the first condition set is: when at least one condition in the first condition set is not met, the first RRC information element is not executed; when all conditions in the first condition set are met, the first RRC information element is delayed in execution; the delayed in execution is not later than an end of the first time window.


