Predictive Handover Control for Narrow-Cell Wireless Networks
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Solution Overview
Problem
In future wireless communication systems with narrow cell sizes and overlapping cells, the increased number of signals and rapid power fluctuations lead to handover processing overload, resulting in decreased radio quality or frequent handover events, making smooth handover difficult for user terminals.
Innovation Solution
A connection destination switching control method using a communication apparatus that acquires observed signal power, predicts future power using a prediction model, and executes handover control based on predicted values, employing techniques like deep learning to manage handover processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of cells is increased and cell size is narrowed to achieve ultra-high speed and large capacity, then wireless communication capacity is improved, but handover processing load increases and smooth handover becomes difficult
Solution Approach 1:
The system performs preliminary actions by predicting future received power values before handover decisions are made. The prediction unit calculates future received power for both current and candidate base stations, allowing the handover control unit to make informed decisions in advance, thereby reducing processing load during actual handover events.
Solution Approach 2:
The patent creates a virtual model of future communication conditions by generating predicted received power values that copy the characteristics of actual future signals. This allows the system to evaluate handover conditions based on predicted data rather than waiting for real-time measurements, reducing the complexity of real-time handover processing.
2Speed
If received power fluctuation speed increases due to narrow cell sizes, then wireless communication speed is improved, but handover timing accuracy deteriorates
Solution Approach 1:
The prediction unit performs preliminary calculations of future received power values at multiple time points (e.g., 100ms, 200ms, 300ms ahead). This allows the system to anticipate power fluctuations and determine optimal handover timing in advance, compensating for the rapid fluctuation speeds caused by narrow cell sizes.
Solution Approach 2:
The system uses feedback from historical received power measurements to continuously refine predictions of future power values. The prediction unit analyzes past fluctuation patterns and uses this feedback to improve the accuracy of future predictions, enabling more precise handover timing decisions despite rapid fluctuations.
3Reliability
If the number of base stations for handover checking increases, then connection reliability is improved, but processing overhead increases
Solution Approach 1:
The prediction unit performs preliminary evaluation of multiple candidate base stations by calculating their future received power values. The handover control unit uses these pre-calculated predictions to identify the most promising candidates, reducing the number of base stations that require detailed handover processing while maintaining connection reliability.
Solution Approach 2:
The system performs partial evaluation of all candidate base stations by predicting future received power for each, but only executes full handover processing for the most promising candidates identified through prediction. This partial action approach maintains reliability by considering multiple options while reducing overall processing overhead.
Data Source
AI summary
A connection destination switching control method executed by a communication apparatus, the connection destination switching control method comprising: a data acquisition step of acquiring observed values of received power of signals transmitted from a base station; a prediction processing step of predicting future received power by using the observed values acquired in the data acquisition step as input data into a prediction model; and a connection destination switching processing step of executing control for handover based on the future received power predicted in the prediction processing step.