Wireless Device Grouping for URLLC Reliability and eMBB Scheduling
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Solution Overview
Problem
Existing 3GPP wireless communication technologies face challenges in efficiently managing inter-WD pre-emption/interruption/cancellation for uplink transmissions, particularly in scenarios involving ultra-reliable low latency communications (URLLC) and enhanced mobile broadband (eMBB), due to limitations in scheduling flexibility and performance of wireless devices with varying capabilities.
Innovation Solution
A network node assigns wireless devices to groups based on service type, preemption indication monitoring capability, power control capability, and spatial separateness, allocating resources accordingly to optimize scheduling and minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If MBB transmission is interrupted to perform URLLC transmission on certain time-frequency resources, then URLLC reliability and latency requirements are met, but MBB transmission performance deteriorates
Solution Approach 1:
The system segments wireless devices into different groups based on their service types (URLLC, eMBB, etc.) and capabilities. Each group is assigned specific time-frequency resources, allowing URLLC devices to have guaranteed resources without continuously interrupting eMBB transmissions. This segmentation resolves the contradiction by providing dedicated resources for high-reliability services while preserving resources for high-throughput services.
Solution Approach 2:
The system dynamically adjusts resource allocation based on real-time service requirements and device capabilities. When URLLC traffic arrives, the network node can dynamically assign pre-configured resources to URLLC devices without requiring interruption of ongoing eMBB transmissions. This dynamic resource management ensures URLLC reliability while maintaining eMBB productivity through flexible, demand-driven allocation.
2Productivity
If dynamic multiplexing of different services is implemented, then system resource efficiency is improved, but scheduling complexity increases
Solution Approach 1:
The system segments services into distinct groups with specific resource assignments. URLLC devices, eMBB devices, and other service types are separated into different groups, each with predetermined resource patterns. This segmentation simplifies scheduling complexity by reducing the need for complex real-time multiplexing decisions, while still achieving high resource efficiency through targeted dynamic allocation within each group.
Solution Approach 2:
The system performs preliminary actions by pre-configuring resource assignments for different device groups based on their service types and capabilities. Network nodes pre-identify which devices belong to which groups and pre-assign resource patterns. This preliminary grouping and configuration reduces real-time scheduling complexity while maintaining high resource efficiency through pre-planned, service-optimized allocations.
3Productivity
If wireless devices with varying capabilities are scheduled on the same resources, then resource utilization is improved, but performance of devices with limited capabilities deteriorates
Solution Approach 1:
The system segments wireless devices into different groups based on their capabilities (e.g., preemption indication monitoring capability, power control capability, spatial separateness). Devices with limited capabilities are grouped separately from advanced-capability devices. Each group is assigned appropriate resources that match their capabilities, ensuring reliable performance for all devices while maintaining high overall resource utilization through capability-matched allocation.
Solution Approach 2:
The system applies local quality by tailoring resource assignments to the specific capabilities of each device group. Resources allocated to devices with limited capabilities are optimized for their specific constraints (e.g., avoiding preemption for devices without monitoring capability), while resources for advanced devices can support more demanding service requirements. This localized optimization ensures each device group achieves its maximum potential performance without compromising overall system utilization.
Data Source
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AI summary
A method and network node for assigning of resources based on grouping of wireless devices are disclosed. According to one aspect, a network node has processing circuitry configured to perform method steps including assigning the wireless device to a group with other wireless devices based at least in part on a 5service type of the wireless device and based at least in part on at least one of: a preemption indication monitoring capability of the wireless device; a power control capability of the wireless device; and a spatial separateness of the wireless device with respect to at least one of the other wireless devices; and assigning at least one resource to the wireless device according to the group to which the wireless device is 10assigned.