Wireless Network Node State Estimation Sharing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems lack the necessary signaling functionality to effectively share user equipment state estimates between nodes, particularly in scenarios like drone detection, leading to loss of kinematic state accuracy and deterioration of drone detection performance due to drones traveling across multiple cell coverage areas.
Innovation Solution
Implement a method for sharing user equipment state estimates within a wireless communication network by transmitting and receiving kinematic and type state estimate information, including mode state vector estimates, covariance matrices, and probabilities, between network nodes, especially during handover processes, using private messages over X2AP and S1AP interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drone information is collected and state estimation is performed in one cell, then detection performance is improved, but the information becomes void quickly when the drone travels to another cell, requiring re-start of the whole process which loses accuracy
Solution Approach 1:
The source network node performs state estimation in advance before the drone moves to the target cell, and prepares the estimated information for forwarding. This preliminary action ensures that when the drone enters the target cell, the detection process can continue seamlessly without re-starting, maintaining accuracy and saving time
Solution Approach 2:
The source network node acts as an intermediary by forwarding the estimated drone information to the target network node through signaling messages. This intermediary transfer allows the target node to receive pre-computed state estimates, avoiding the need to re-start detection and maintaining measurement precision across cell boundaries
2Reliability
If the whole drone information collection process is re-started when a drone moves to another cell, then detection can continue, but kinematic state estimate accuracy is lost and detection performance deteriorates
Solution Approach 1:
The state estimation process maintains continuity by forwarding estimated information from the source network node to the target network node. This continuous action allows the detection process to proceed without interruption or re-start, preserving both reliability and the accumulated kinematic state estimate accuracy
Solution Approach 2:
The source network node serves as an intermediary that bridges the information gap between cells. By forwarding the estimated drone information through signaling messages, it prevents information loss and maintains detection performance continuity across cell boundaries
Data Source
AI summary
A method for sharing user equipment state estimates between nodes within a wireless communication network comprises initiating of transmission of at least one of obtained user equipment kinematic state estimate information and obtained user equipment type state estimate information to a receiving network node as a response to an obtained indication of a need for sharing user equipment state estimates. The obtained user equipment kinematic state estimate information comprising a latest kinematic state update time, as well as mode state vector estimates, mode covariance matrices and mode probabilities for at least one user equipment kinematic mode. The obtained user equipment type state estimate information comprising a latest type state update time and a type state probability estimate. A method for receiving and propagating the user equipment state estimates, and devices for both methods are also disclosed.