Resource Scheduling for Low-Latency Communication Services
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Solution Overview
Problem
Existing resource scheduling methods in communication systems struggle to efficiently manage resource reservations and scheduling for various service scenarios, particularly in high-reliable and low-latency communication services, due to the complexity of service requirements and limited flexibility in resource allocation.
Innovation Solution
A resource scheduling method that involves obtaining and analyzing specific information such as service cycle, type, arrival window, packet size, and priority to determine optimal resource reservations and scheduling for network devices, terminal devices, and core network devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing resource scheduling methods are used, then the system can maintain basic resource allocation, but the flexibility and efficiency in managing diverse service scenarios (eMBB, mMTC, uRLLC) is insufficient
Solution Approach 1:
The patent implements dynamic resource scheduling by continuously monitoring service quality parameters (packet arrival times, transmission durations, error rates) and adjusting resource allocations in real-time. The scheduler dynamically modifies time window cycles, arrival windows, and resource reservation based on actual service performance, enabling adaptive response to changing service requirements across different scenarios.
Solution Approach 2:
The patent changes key scheduling parameters including time window cycle duration, arrival window timing, packet size expectations, and resource reservation levels based on service type and performance metrics. By adjusting these parameters dynamically, the system optimizes resource allocation for different service scenarios (eMBB, mMTC, uRLLC) without requiring separate fixed schedules for each scenario.
2Reliability
If comprehensive service quality monitoring is implemented, then service requirements can be accurately tracked, but the system complexity increases
Solution Approach 1:
The patent employs a universal monitoring framework that handles multiple service types (eMBB, mMTC, uRLLC) and quality parameters through a single integrated scheduler. The same monitoring and adjustment mechanisms work across different service scenarios, eliminating the need for separate specialized monitoring systems for each service type while maintaining comprehensive tracking capability.
Solution Approach 2:
The system implements feedback loops where service quality parameters (packet arrival times, transmission durations, error rates) are continuously measured and fed back to the scheduler. This feedback mechanism enables automatic adjustment of resource allocations without requiring complex manual intervention or analysis, reducing operational complexity while improving reliability.
3Reliability
If resource reservations are made for high-reliability services, then service reliability improves, but the latency in resource allocation increases
Solution Approach 1:
The patent performs preliminary resource reservation for high-reliability services by pre-establishing time window cycles and arrival windows before actual data transmission occurs. Resources are reserved in advance based on predicted service requirements and historical performance data, ensuring reliable resource availability while minimizing allocation latency through pre-computed scheduling decisions.
Solution Approach 2:
The system uses periodic time window cycles for resource scheduling, where resources are allocated in repeating cycles rather than continuously. This periodic approach allows for predictable resource reservation patterns that ensure reliability while reducing the time needed for each individual allocation decision, as the schedule follows established rhythmic patterns rather than requiring ad-hoc processing.
Data Source
AI summary
Disclosed are a resource scheduling method, a terminal device, a network device, a computer storage medium, a chip, a computer-readable storage medium, a computer program product, and a computer program. The method includes obtaining first information; and determining a resource reservation and/or resource scheduling of a first network device on the basis of the first information, wherein the first information includes at least one of the following: service cycle, service type, service arrival window, average packet size, service transmission reserved time window length, time window cycle, service arrival time point and/or allowable error, successful transmission duration of service, and service priority.