Uplink Resource Scheduling for Predictable M2M Services
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Solution Overview
Problem
Existing uplink radio resource scheduling technologies are not suitable for services with predictable or regular data amounts, leading to unnecessary signaling overhead, scheduling delays, and reduced system throughput in Machine to Machine (M2M) communication.
Innovation Solution
A radio resource scheduling method where the network element acquires uplink data feature information from the terminal, allowing for optimized resource allocation based on predictable data patterns, eliminating the need for redundant scheduling requests and reports, and enabling proactive resource scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the terminal sends scheduling requests and buffer status reports for every uplink transmission, then the network can allocate resources dynamically, but the signaling overhead increases and scheduling delay occurs
Solution Approach 1:
The patent applies preliminary action by having the terminal report buffer status information in advance during connection establishment or reconfiguration, before actual data transmission occurs. This allows the network to pre-allocate resources or prepare scheduling decisions, eliminating the need for real-time scheduling requests and reducing signaling overhead during actual data transmission.
Solution Approach 2:
The patent implements feedback mechanisms where the terminal provides buffer status reports and data feature information to the network element, which then uses this information to make informed scheduling decisions. This feedback loop allows the network to allocate resources more efficiently without requiring continuous scheduling requests, reducing both signaling overhead and scheduling delay.
2Loss of energy
If the network allocates minimal uplink resources to avoid waste, then resource efficiency improves, but packet transmission delay increases
Solution Approach 1:
The patent applies dynamics by enabling the network to adjust uplink resource allocation based on real-time buffer status reports and data feature information. Instead of allocating fixed minimal resources, the network dynamically adjusts allocation to match actual transmission needs, preventing both resource waste and transmission delays.
Solution Approach 2:
The patent changes the parameter of resource allocation from static minimal allocation to dynamic allocation based on buffer status and data characteristics. By modifying allocation parameters according to actual transmission requirements, the system achieves both resource efficiency and timely packet transmission.
3Adaptability or versatility
If the network uses traditional scheduling methods for M2M services, then compatibility with existing systems is maintained, but signaling overhead increases considerably
Solution Approach 1:
The patent applies universality by designing a scheduling method that works for both traditional services and M2M services through a unified approach. The network element handles different service types using the same buffer status report and data feature information mechanism, maintaining compatibility while reducing signaling overhead for M2M services with predictable data patterns.
Solution Approach 2:
The patent applies local quality by tailoring the scheduling approach to specific service characteristics. For M2M services with predictable data patterns, the system uses optimized scheduling without requiring full traditional scheduling procedures, reducing signaling overhead locally for these services while maintaining general compatibility.
4Manufacturing precision
If the terminal reports buffer status for every transmission, then accurate resource allocation is achieved, but control signaling overhead increases
Solution Approach 1:
The patent applies preliminary action by having the terminal report buffer status information in advance during connection establishment or reconfiguration, before actual data transmission occurs. This allows the network to pre-allocate resources or prepare scheduling decisions, eliminating the need for real-time scheduling requests and reducing signaling overhead during actual data transmission.
Data Source
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AI summary
Disclosed in the present invention is a radio resource scheduling method, including: a network element in an access network acquiring uplink (UL) data feature information corresponding to a service supported by a terminal; the terminal waiting for an UL resource scheduling signaling of the network element in the access network when judging that an initiated service is regular or predictable; the network element in the access network sending the UL resource scheduling signaling to the terminal to carry out UL resource scheduling on the terminal according to the UL data feature information corresponding to the service initiated by the terminal when the service initiated by the terminal is regular or predictable. Also disclosed in the present invention are a network element in an access network element and a terminal. The present invention enables the UL resource scheduling to save more control signaling, improving the radio spectrum efficiency and system throughput.