Trajectory-Based Terminal Scheduling for Faster State Updates
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Solution Overview
Problem
Existing scheduling methods for terminals in high-speed transportation fail to adapt flexibly to rapid changes in terminal states due to inflexible parameter configurations, leading to slow state updates and uplink data collisions.
Innovation Solution
A method that determines configuration information based on predicted terminal trajectories, allocating transmission resources, cycles, and active retransmission locations to optimize scheduling and reduce collisions, using mapping tables for channel gains and reconfiguration intervals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If fixed transmission cycle and random resource allocation are used in conventional SPS, then PDCCH resources are saved through semi-static scheduling, but the terminal state update timeliness deteriorates under high-speed travelling conditions
Solution Approach 1:
The patent transforms the static SPS parameters into dynamic parameters that adapt to terminal movement. The network side determines transmission cycles and resource locations based on terminal trajectory predictions, allowing the system to maintain energy efficiency while responding to changing terminal states in high-speed scenarios
Solution Approach 2:
The patent changes the parameter configuration approach from fixed random allocation to trajectory-based deterministic allocation. By predicting terminal positions and calculating optimal transmission parameters based on movement patterns, the system achieves both resource efficiency and timely state updates
2Device complexity
If inflexible parameter configuration is used in scheduling, then scheduling complexity is reduced, but the adaptability to rapid terminal state changes deteriorates
Solution Approach 1:
The patent applies preliminary action by predicting terminal trajectories in advance and pre-calculating optimal scheduling parameters. This allows the system to prepare adaptation strategies beforehand, maintaining low operational complexity while achieving high adaptability when terminal states change rapidly
Solution Approach 2:
The system enables self-service through automated trajectory-based parameter adjustment. The network side automatically determines scheduling parameters based on predicted terminal positions without requiring manual reconfiguration, reducing complexity while improving adaptability to dynamic conditions
3Device complexity
If fixed resource allocation is used in SPS, then resource management is simplified, but uplink data collisions increase under high-speed movement
Solution Approach 1:
The patent applies local quality by allocating resources based on local terminal position and trajectory characteristics. Different terminal movements receive customized resource allocations tailored to their specific trajectories, reducing collisions while maintaining manageable resource management complexity through localized rather than global reconfiguration
4Ease of manufacture
If random resource allocation within SPS stage is used, then initial scheduling is simplified, but state information update timeliness deteriorates for high-speed terminals
Solution Approach 1:
The patent changes the resource allocation parameter from random selection to trajectory-based deterministic selection. By calculating resource locations based on predicted terminal positions and movement patterns, the system maintains initial scheduling simplicity while dramatically improving state information update timeliness for high-speed terminals
Data Source
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AI summary
Disclosed is a scheduling method. The method comprises: determining configuration information according to a travelling trajectory of a terminal within a predetermined time period; and sending the configuration information to a base station to which the terminal currently belongs, wherein the configuration information comprises at least one of the following: a transmission resource, a transmission cycle and an active retransmission location. Further disclosed are an information sending method and apparatus, and a storage medium. According to the present invention, by means of combining a prediction result of a travelling trajectory of a terminal within a predetermined time period, scheduling information parameter configuration, which complies with the travelling state of the terminal itself, is carried out for the terminal, so that the state of the terminal is acquired more timely, thereby solving the problem in the relevant art of slow terminal state update caused by inflexible parameter configuration of a scheduling method.