Autonomous Uplink Scheduling With Partial Control Updates
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Solution Overview
Problem
Current wireless communications networks face challenges in efficiently supporting a diverse range of devices with varying data traffic profiles and requirements, particularly in handling high-reliability, low-latency services like URLLC and XR, due to inefficiencies in uplink scheduling and resource allocation, which result in increased latency and overhead.
Innovation Solution
A communications device determines independently of the network to transmit full control information at the start of uplink data transmission and partial control information for subsequent parts, adapting the control information based on predetermined conditions to optimize resource use and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full control information is transmitted in every uplink resource instance, then scheduling parameter accuracy is improved, but control information overhead increases
Solution Approach 1:
The control information is segmented into full control information (transmitted initially) and partial control information (transmitted subsequently). This segmentation allows the system to transmit complete scheduling parameters at the beginning when accuracy is most critical, then transmit only necessary updates later, reducing overall overhead while maintaining scheduling precision.
Solution Approach 2:
The control information transmission is made dynamic by adapting the amount of information transmitted based on changing conditions. The system transitions from transmitting full control information to transmitting only partial updates when parameters change, optimizing the balance between accuracy and overhead reduction.
2Productivity
If network-dependent scheduling is used, then resource allocation optimization is improved, but latency increases
Solution Approach 1:
The communications device performs preliminary scheduling actions independently by determining uplink resource instances and preparing control information before network confirmation is fully processed. This preliminary action reduces the time the device waits for network scheduling decisions while still optimizing resource allocation based on pre-determined parameters.
Solution Approach 2:
The communications device performs self-service scheduling by independently determining uplink resource instances and generating control information without waiting for complete network instructions. This self-service approach reduces latency by eliminating dependency on network scheduling timing while maintaining optimized resource allocation through autonomous decision-making.
3Reliability
If control information is transmitted in every uplink resource instance, then scheduling reliability is improved, but spectral efficiency decreases
Solution Approach 1:
The control information transmission is segmented into essential initial transmission and optional subsequent updates. This segmentation maintains scheduling reliability by ensuring complete parameter transmission initially, then reduces spectral efficiency loss by transmitting only necessary updates in subsequent instances rather than repeating all control information.
Solution Approach 2:
The system discards redundant control information transmissions by using partial control information that references previously transmitted full control information. This approach maintains scheduling reliability through the initial complete transmission while improving spectral efficiency by avoiding redundant re-transmission of unchanged parameters.
Data Source
AI summary
A method for operating a communications device in a wireless network involves transmitting uplink data using predetermined radio interface resources. The device determines uplink data availability and independently selects periodic uplink resource instances, each including data resources. The method includes transmitting the first part of the data with full control information specifying scheduling parameters and transmitting subsequent data parts with partial control information reflecting parameter changes. This approach allows efficient, autonomous uplink data transmission while adapting scheduling parameters to optimize network resource use.


