Handover Optimization via UE Position Angle of Arrival
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Solution Overview
Problem
User Equipment (UE) in mobile communication systems face challenges in identifying suitable communication devices for handover, especially when exiting or entering a coverage area, leading to unnecessary data traffic and energy consumption due to periodic neighbor cell measurements.
Innovation Solution
The method involves periodically determining the position of the UE within a cell's coverage area based on the angle of arrival of signals, and transmitting information to enable neighbor cell measurements only when a change in position indicates an increased likelihood of handover, thereby reducing unnecessary measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic neighbor cell measurements are performed continuously to ensure handover capability, then handover reliability is improved, but data traffic and energy consumption increase
Solution Approach 1:
The patent implements dynamic adjustment of measurement behavior based on UE movement state. The network determines whether the UE is in a moving or stationary state and dynamically configures measurement parameters accordingly. When the UE is detected to be moving (especially toward coverage area boundaries), periodic neighbor cell measurements are enabled or increased in frequency. When the UE is stationary or in stable coverage, measurements are reduced or suspended. This dynamic adaptation resolves the contradiction by making measurement activity proportional to actual handover need, thereby maintaining reliability while reducing unnecessary energy consumption.
Solution Approach 2:
The patent changes measurement parameters (such as measurement frequency, threshold values, and enabling/disabling states) based on the UE's movement state and position. The network configures different measurement parameter sets depending on whether the UE is moving or stationary, and adjusts these parameters in real-time as the UE transitions between states. This parameter adaptation allows the system to maintain handover reliability when needed while minimizing measurement activity and energy consumption when handover is not required.
2Reliability
If periodic neighbor cell measurements are performed continuously to ensure handover capability, then handover reliability is improved, but data traffic increases
Solution Approach 1:
The system dynamically adjusts measurement configuration based on real-time UE movement detection. When the UE is stationary or in stable coverage conditions, the network suspends or reduces neighbor cell measurements, thereby minimizing data traffic. When the UE enters moving state or approaches coverage boundaries, measurements are activated or increased. This dynamic control ensures handover reliability is maintained only when necessary, reducing overall data traffic while preserving reliability during critical handover scenarios.
Solution Approach 2:
The network modifies measurement parameters (frequency, thresholds, enablement status) based on UE movement state and position relative to coverage areas. By changing these parameters dynamically, the system reduces the quantity of measurement data transmitted when handover is not needed, while ensuring adequate measurement activity when handover reliability is critical. This parameter adaptation directly addresses the contradiction between maintaining reliability and minimizing data traffic.
3Speed
If neighbor cell measurements are enabled frequently to improve handover responsiveness, then handover speed is improved, but energy consumption increases
Solution Approach 1:
The patent implements movement-based dynamic control where the UE's motion state determines measurement frequency. When the UE is detected to be moving (especially toward coverage area edges), the system enables frequent measurements to ensure rapid handover detection and execution. When the UE is stationary or in stable conditions, measurements are reduced or suspended. This dynamic approach ensures fast handover when needed while avoiding unnecessary energy consumption during stationary periods, resolving the contradiction between handover speed and energy efficiency.
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 reduces data traffic and energy consumption by enabling neighbor cell measurements only when necessary, improving the handover process by dynamically adjusting measurements based on the UE's position and movement.
Implementation Method 1
periodically determining a position of the user equipment inside a coverage area of the cell based on an angle of arrival of a signal received from the user equipment
Data Source
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Figure 3
AI summary
Embodiments relate to a method 100 for a cell. The method 100 is for improving a handover of a user equipment in a cell of a mobile communication system. The method 100 comprises periodically determining 110 a position of the user equipment inside a coverage area of the cell based on an angle of arrival of a signal received from the user equipment and transmitting 120 information to the user equipment to enable neighbor cell measurements if a change of the periodically determined position indicates an exiting and/or entering of the coverage area of the cell by the user equipment to improve a handover process to another cell.