HARQ Priority Scheduling for URLLC and eMBB Overlap Resolution
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Solution Overview
Problem
Current radio communication networks lack a detailed method to determine transmission priority, leading to time domain overlaps between different types of traffic transmissions, such as Ultra-Reliable and Low Latency Communications (URLLC) and enhanced Mobile Broadband (eMBB), which can result in conflicts due to differing latency and reliability requirements.
Innovation Solution
A method and apparatus for determining transmission priority using a Hybrid Automatic Repeat Request (HARQ) process, where a priority determination module assigns priorities to HARQ processes, allowing for the identification and management of overlapping transmissions, ensuring higher priority transmissions are processed first.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple traffic transmissions are allowed to occur simultaneously without priority determination, then the network can handle diverse traffic types (eMBB, URLLC), but time domain overlaps occur causing transmission conflicts and delays
Solution Approach 1:
The patent segments traffic into different priority levels (first priority and second priority) based on traffic type characteristics. High-priority traffic (e.g., URLLC) and low-priority traffic (e.g., eMBB) are separated into distinct transmission queues, allowing the system to handle diverse traffic types while preventing conflicts through priority-based scheduling.
Solution Approach 2:
The patent performs preliminary priority determination at the scheduling stage before actual transmission occurs. By pre-assigning priorities to different traffic types and establishing priority rules in advance, the system resolves potential time domain conflicts before they occur, ensuring high-priority transmissions are not delayed by low-priority traffic.
2Reliability
If transmission priority determination is implemented to resolve overlaps, then transmission reliability improves, but system complexity increases due to additional priority management mechanisms
Solution Approach 1:
The patent introduces a priority parameter associated with each traffic type and uses this parameter to determine transmission order. By changing the scheduling approach from time-based to priority-based, the system resolves overlaps efficiently without requiring complex coordination mechanisms, as the priority parameter directly dictates transmission sequencing.
Solution Approach 2:
The system automatically determines transmission priority based on pre-configured traffic type characteristics and priority rules, without requiring manual intervention or complex real-time negotiations between nodes. The priority determination is self-executed based on the traffic type identifier, reducing operational complexity while maintaining high reliability.
3Reliability
If high priority transmissions are processed first, then critical data delivery is ensured, but low priority transmissions experience delays
Solution Approach 1:
The patent implements dynamic priority scheduling where the transmission order adapts based on the priority level of incoming traffic. When high-priority traffic arrives, the system dynamically adjusts the transmission queue to process it first, accepting that low-priority traffic may be delayed. This dynamic reordering ensures critical data delivery while acknowledging trade-offs for non-critical traffic.
Data Source
AI summary
Provided are a method and apparatus for determining a transmission priority and a computer-readable storage medium. The method includes that a transmitter determines a priority of a Hybrid Automatic Repeat reQuest (HARQ) process and that the transmitter transmits at least one of a traffic channel or a control channel according to the priority of the HARQ process.