Coordinated Access Node Configuration for High-Speed Vehicle Communication
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Solution Overview
Problem
Current cellular communications networks face challenges in providing high data rates to mobile terminals moving at high velocities due to issues like the Doppler effect, coarse channel estimation, frequent handovers, and inaccurate feedback, which limit data rate and increase network strain.
Innovation Solution
A network entity with a location prediction engine configures geographically distributed access nodes for coordinated communication with mobile terminals, predicting their location to improve channel estimation, resource allocation, and handover management, thereby enhancing data rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current channel estimation techniques are used for high velocity mobile terminals, then the system can maintain existing operational procedures, but the channel estimation becomes coarse and unreliable
Solution Approach 1:
The system performs preliminary channel estimation using reference signals before actual data transmission, and updates channel estimates continuously based on predicted terminal positions. This preliminary action allows the system to prepare accurate channel state information in advance, compensating for the high velocity effects that would otherwise cause coarse and unreliable estimation.
2Reliability
If handover procedures are implemented for mobile terminals moving between cells, then coverage continuity is maintained, but handover frequency increases and network overhead increases
Solution Approach 1:
The system predicts the future position of mobile terminals based on current velocity and trajectory information, and proactively prepares handover configurations before the terminal actually enters the handover zone. This preliminary preparation reduces the frequency and complexity of actual handover executions, maintaining coverage continuity while reducing network overhead.
3Productivity
If feedback mechanisms are used to increase data rates, then data rate improvement is achieved for stationary terminals, but feedback becomes inaccurate or void for high velocity terminals
Solution Approach 1:
The system sends downlink reference signals and prediction information to mobile terminals in advance, allowing terminals to predict channel conditions and provide more accurate feedback. This preliminary provision of reference information enables terminals to compensate for their own motion effects when generating feedback, maintaining feedback accuracy even at high velocities.
4Productivity
If coordinated communication with multiple access nodes is configured based on predicted location, then data rate is improved for high velocity terminals, but network entity complexity increases
Solution Approach 1:
The network entity segments the complex task of coordinated communication configuration into modular components: location prediction module, access node selection module, and configuration generation module. Each module handles a specific aspect of the problem independently, reducing overall system complexity while enabling sophisticated coordinated communication for high velocity terminals.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly improves data rates for high-speed mobile terminals by mitigating channel estimation issues and reducing handover frequency, ensuring reliable and efficient communication.
Implementation Method 1
One of these is the well-known Doppler effect. As the mobile terminal moves, there is a shift in the frequency of the signal.
Data Source
AI summary
A cellular communications network comprises a plurality of geographically distributed access nodes arranged for communication with mobile terminals. A location prediction engine predicts a location for a first mobile terminal at a predetermined time and a configuration output configures two or more of the plurality of access nodes for coordinated communication with the first mobile terminal at the predetermined time, based on the predicted location for the first mobile terminal.