Base-Station Group Traffic Prediction for Accurate Switch-Off Control
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Solution Overview
Problem
Existing traffic demand prediction in wireless communication systems is difficult due to inaccuracies caused by switch-off processing, where some base-station devices are kept stopped, leading to incomplete data inputs and traffic concentration in other cells, making it challenging to determine optimal stopping-target base stations.
Innovation Solution
A control device predicts group traffic by using individual traffic amounts of multiple base-station devices, including those forming macro-cells and small cells with overlapping regions, to accurately determine which base-station devices to stop, thereby improving prediction accuracy and power savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If switch-off processing is performed to save power by stopping base-station devices, then power saving is achieved, but traffic demand prediction accuracy deteriorates due to incomplete data inputs and traffic concentration
Solution Approach 1:
The patent merges the traffic prediction of multiple base-station devices into a group-level prediction. By aggregating individual traffic amounts of base-station devices (including those in macro-cells and small cells with overlapping regions) into group traffic, the system maintains prediction accuracy even when some devices are switched off, as the group-level data remains complete and representative of overall traffic patterns.
2Loss of energy
If base-station devices are stopped to achieve power saving, then energy efficiency improves, but service stability deteriorates due to traffic concentration in remaining devices
Solution Approach 1:
The patent implements dynamic switch-off control based on group traffic prediction. The controller dynamically determines which base-station devices to stop or operate according to the predicted group traffic, allowing the system to adaptively adjust the operational state of base-station devices while maintaining service stability through intelligent load distribution.
3Ease of operation
If individual traffic prediction is performed for each base-station device, then detailed traffic control is achieved, but computational complexity increases
Solution Approach 1:
The patent segments the traffic prediction problem into two levels: individual base-station device traffic prediction and group traffic prediction. This segmentation allows the system to perform detailed individual predictions when needed while also conducting broader group-level predictions to reduce overall computational complexity and manage traffic control more efficiently.
Data Source
AI summary
A control device includes, a predictor that predicts group traffic of a group including a plurality of base-station devices, with use of respective amounts of individual traffic of the plurality of base-station devices, and a controller that determines whether to stop or operate a base-station device in the group, in accordance with the predicted group traffic, wherein the group includes a base-station device that forms a macro-cell and a base-station device that forms a small cell, and the small cell includes a region overlapping the macro-cell.