User Equipment Scheduling via Predicted Channel Status
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Solution Overview
Problem
In mobile communications systems, the existing method of user equipment scheduling causes time hysteresis due to the need for user equipment to send measurement reports before being scheduled by the network side device, leading to inefficiencies and delays in resource allocation.
Innovation Solution
A method and device that predict channel status information of user equipment using radio resource information stored in an information grid, allowing for scheduling based on anticipated conditions rather than real-time reports, thereby eliminating the need for measurement overheads and considering channel quality fluctuations caused by mobility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the network side device sends a measurement control message and the user equipment sends a measurement report before scheduling, then the scheduling decision is based on actual measured data, but time hysteresis occurs due to the sequential process
Solution Approach 1:
The patent applies preliminary action by predicting channel status information before the user equipment actually enters a geographical area. The network side device uses pre-stored radio resource information from information sub-grids to predict channel conditions in advance, eliminating the need for sequential measurement reporting and reducing scheduling delay while maintaining decision accuracy
2Reliability
If the user equipment sends measurement reports in real-time, then the network side device can schedule based on current channel conditions, but measurement overheads increase and resource efficiency decreases
Solution Approach 1:
The patent uses copying by utilizing pre-collected radio resource information stored in information sub-grids to create predictions of channel status. Instead of requiring continuous real-time measurement reports from user equipment, the system copies and uses historical radio resource data to predict future channel conditions, significantly reducing measurement overhead while maintaining scheduling reliability
Solution Approach 2:
The system applies self-service by having the network side device autonomously predict channel status using its own stored radio resource information and prediction algorithms. This eliminates the need for user equipment to perform and report measurements, allowing the network to self-determine scheduling decisions based on predicted channel conditions
Data Source
AI summary
Embodiments of the present invention provide a user equipment scheduling method and device, where the method includes: predicting, according to radio resource information stored in an information sub-grid of an information grid, channel status information of first user equipment when the first user equipment is located in a geographical area in which any geographical sub-grid of a geographical grid is located, where there is a correspondence between an information sub-grid of the information grid and a geographical sub-grid of the geographical grid, and the information sub-grid is used to store radio resource information of a geographical area in which the corresponding geographical sub-grid is located; and scheduling the first user equipment according to the channel status information of the first user equipment.