Semi-Persistent Scheduling for M2M QoS in Cellular Networks
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Solution Overview
Problem
Existing M2M communication systems face challenges in efficiently managing limited radio resources, leading to network congestion, spectrum scarcity, and quality of service (QoS) issues, particularly in supporting a large number of devices with strict timing requirements in LTE and 5G networks.
Innovation Solution
A semi-persistent scheduling (SPS) method and system that allocates resources based on device periodicity, using a threefold algorithmic approach including delay tolerance-based QoS representation, call admission mechanisms, and efficient depth-first search to minimize frequency band usage and signaling overhead, ensuring fair and efficient resource allocation while prioritizing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of frequency bands allocated to M2M devices is minimized to serve more devices, then device capacity increases, but resource allocation complexity increases
Solution Approach 1:
The patent segments M2M devices into different priority levels (QoS classes) and allocates frequency bands accordingly. High-priority devices receive resources in specific bands while low-priority devices use other bands, allowing the system to serve more devices without overwhelming allocation complexity through structured segmentation.
Solution Approach 2:
The patent implements semi-persistent scheduling where resources are allocated periodically to M2M devices based on their QoS requirements. This periodic allocation pattern simplifies the allocation process by establishing predictable resource distribution cycles rather than requiring complex real-time decisions for each device.
2Productivity
If semi-persistent scheduling is used to reduce signaling overhead, then communication efficiency improves, but flexibility in resource allocation decreases
Solution Approach 1:
The patent combines semi-persistent scheduling with dynamic QoS-based adjustments. While the basic allocation follows a semi-persistent pattern for efficiency, the system dynamically adapts resource distribution based on changing QoS requirements and network conditions, maintaining both efficiency and flexibility through layered control mechanisms.
Solution Approach 2:
The patent changes allocation parameters (such as resource block sizes, time intervals, and frequency band assignments) based on QoS class and device priorities. This parameter adaptation allows the system to maintain semi-persistent scheduling efficiency while adjusting resource characteristics to meet varying flexibility requirements.
3Reliability
If frequency bands are separated for M2M and H2H devices to ensure fair allocation, then QoS compliance improves, but spectrum utilization efficiency decreases
Solution Approach 1:
The patent applies local quality by assigning different QoS characteristics to different frequency bands based on device type and priority. Specific bands are optimized for M2M communications while others serve H2H traffic, allowing each band to be tailored to its specific requirements rather than using a uniform allocation approach.
Solution Approach 2:
The patent introduces QoS priority as an additional dimension for resource allocation beyond simple frequency band separation. By adding this dimensional layer, the system can achieve fair allocation across M2M and H2H devices while improving overall spectrum utilization through multi-dimensional resource management.
Data Source
AI summary
A semi-persistent scheduling method of machine-type communications specifically for cellular devices and a system employing the semi-persistent scheduling method are provided. Three algorithmic methods act in cooperation with allocating smartest and fastest possible incarnations of a resource handling in a cellular network setting, exploiting an inherent periodicity of a machine-to-machine communication taking place; a high priority cluster takes precedence over another cluster, before assigned to Unit Frequency Bands (UFB) with a given width, any device with a set priority according to a quality-of-service requirement allocation of the any device is executed on the UFB.