5G Downlink Preemption for URLLC and eMBB Multiplexing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In next-generation/5G wireless access networks, there is a challenge in efficiently multiplexing radio resources to meet the diverse requirements of different usage scenarios such as enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable and low latency communication (URLLC), where eMBB requires longer time-domain resources and URLLC needs shorter resources for low latency, leading to limited resource allocation efficiency.
Innovation Solution
A method is introduced where user equipment (UE) receives downlink preemption indication information from a base station through multicast or unicast signals, indicating overlapping radio resources for eMBB and URLLC services, allowing dynamic puncturing of resources to prioritize URLLC traffic, thereby efficiently multiplexing radio resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If radio resources are allocated for eMBB service with longer time-domain resources, then data transmission rate is improved, but latency increases
Solution Approach 1:
The patent implements dynamic resource allocation where the base station can switch between allocating resources to eMBB service (for higher data rates) and URLLC service (for lower latency) based on real-time traffic conditions. The gNodeB dynamically determines which service receives resources in each time slot, allowing the system to adapt to changing requirements and resolve the contradiction between data transmission rate and latency.
Solution Approach 2:
The patent changes the time-domain resource allocation parameters dynamically. Instead of fixed allocation, the system adjusts the duration and timing of resource blocks for eMBB and URLLC services based on traffic patterns. This allows the system to optimize the balance between providing high data rates to eMBB users and low latency to URLLC users by modifying allocation parameters in real-time.
2Loss of time
If radio resources are allocated for URLLC service with shorter time-domain resources, then latency is reduced, but data transmission rate decreases
Solution Approach 1:
The system dynamically adjusts resource allocation based on traffic conditions. When URLLC traffic is present, the base station allocates shorter time-domain resources to meet latency requirements. When eMBB traffic dominates, the system switches to longer resource allocations to maximize data transmission rate. This dynamic adaptation allows the system to optimize for either latency or throughput depending on current needs.
Solution Approach 2:
The patent employs parameter changes in time-domain resource allocation. The base station modifies the duration and scheduling of resource blocks for URLLC and eMBB services based on real-time traffic analysis. By changing these allocation parameters dynamically, the system can prioritize low latency when needed while maintaining high throughput when traffic conditions permit.
3Productivity
If radio resources are multiplexed for multiple usage scenarios, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the radio resources into distinct time-domain allocations for different services. The base station divides available resources into separate resource blocks designated for eMBB or URLLC services, making the multiplexing mechanism more manageable. This segmentation approach allows the system to handle multiple usage scenarios with relatively simple scheduling logic based on service type rather than complex integrated management.
Solution Approach 2:
The system incorporates feedback mechanisms where the base station monitors traffic conditions and adjusts resource allocation accordingly. The gNodeB receives feedback about eMBB and URLLC traffic patterns and uses this information to optimize resource distribution. This feedback loop simplifies the management of multiple services by using actual traffic data to guide allocation decisions rather than requiring complex predictive algorithms.
Data Source
AI summary
Provided are a method and apparatus for transmitting and receiving a downlink signal for supporting effective multiplexing between data traffic having mutually different QoS requirements in a next generation/5G wireless access network (“New Radio” (NR)) for which discussion has begun in 3GPP. The method may include receiving configuration information for receiving downlink pre-emption indication data from a base station; monitoring the downlink pre-emption indication data based on the configuration information; and receiving the downlink pre-emption indication data through a multicast or unicast signal, wherein the downlink pre-emption indication data indicates superposed radio resources for providing a first service and for providing a second service.