Temporal-Alignment Persistent Scheduling for Wireless Channel Period Mismatch
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Solution Overview
Problem
Persistent scheduling in wireless communication systems often experiences period mismatch between scheduled channel units and actual traffic periods, leading to increased latency and jitter, particularly in scenarios like integrated TSN and 5G networks, where channel units may be larger or smaller than the traffic period, resulting in inefficient channel utilization and high variance in transmission delays.
Innovation Solution
The Temporal-Alignment Persistent Scheduling (TAPS) scheme dynamically adjusts the scheduling period based on alignment cycles to ensure channel units are allocated directly after packet arrivals, using a recursion algorithm to calculate alignment parameters, and the Transmission Duplicated Time-Redundant TAPS (TD-TR-TAPS) scheme employs transmission duplication with temporal diversity to enhance reliability and reduce delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If persistent scheduling uses fixed channel units, then scheduling simplicity is maintained, but period mismatch increases latency and jitter
Solution Approach 1:
The patent implements dynamic persistent scheduling where the network device adjusts the scheduling period based on the actual traffic period of packets. Instead of using a fixed scheduling period, the system dynamically adapts the scheduling period to match the traffic characteristics, thereby reducing period mismatch and minimizing latency and jitter while maintaining scheduling simplicity through automated adaptation.
2Productivity
If channel units are larger than traffic period, then fewer scheduling operations are needed, but channel utilization decreases
Solution Approach 1:
The patent changes the scheduling period parameter to match the traffic period. By calculating the actual traffic period from packet arrival times and setting the scheduling period equal to this measured value, the system optimizes channel utilization while maintaining efficient scheduling. This parameter adaptation ensures that channel units are allocated precisely when needed, eliminating both over-provisioning and under-provisioning.
3Reliability
If channel units are smaller than traffic period, then channel utilization increases, but scheduling complexity increases
Solution Approach 1:
The system implements self-service scheduling where the network device automatically calculates the traffic period based on packet arrival times and configures the scheduling period accordingly. This self-adaptive mechanism eliminates the need for complex manual scheduling configurations while achieving optimal channel utilization. The system serves itself by automatically adapting to traffic characteristics without requiring external intervention or complex scheduling algorithms.
4Loss of time
If dynamic scheduling is used instead of persistent scheduling, then period mismatch is reduced, but control signaling overhead increases
Solution Approach 1:
The patent implements continuous persistent scheduling where once the scheduling period is configured based on traffic characteristics, the scheduling continues continuously without requiring repeated dynamic grants. This approach maintains the low signaling overhead of persistent scheduling while reducing period mismatch by ensuring the scheduling period is properly configured to match the traffic period from the outset.
Data Source
AI summary
Scheduling on a wireless communications channel is carried out on the basis of demanded traffic on the channel. A root scheduling cycle is set on the basis of traffic levels, and alignment parameters are defined to define how traffic is to be allocated to the scheduling cycle.