AI/ML Position Reporting Scheduling for 5G Accuracy
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Solution Overview
Problem
Existing wireless communication systems face limitations in communication flexibility and efficiency, particularly in managing downlink and uplink transmissions in 5G networks, which affect positioning accuracy and overall system performance.
Innovation Solution
Implementing AI/ML techniques for enhanced positioning accuracy by using RRC messages and DCI formats on PDCCH channels to schedule and activate location and model reporting, enabling efficient control of downlink and uplink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional communication structures are used for downlink and uplink transmissions, then system simplicity is maintained, but communication flexibility and efficiency are limited
Solution Approach 1:
The patent implements dynamic resource allocation where the base station can flexibly assign uplink resources to different UEs based on real-time positioning accuracy requirements. The resource allocation is not static but adapts to changing conditions, allowing the system to optimize positioning performance while maintaining manageable complexity through standardized procedures.
Solution Approach 2:
The patent reuses existing 5G NR communication structures and procedures for positioning purposes. The same physical channels (PUCCH, PUSCH, PRACH) and resource allocation mechanisms used for data transmission are also utilized for positioning reports, eliminating the need for entirely separate positioning infrastructure and maintaining system simplicity while enhancing flexibility.
2Measurement precision
If more resources are allocated for location reporting, then positioning accuracy is improved, but communication efficiency may deteriorate
Solution Approach 1:
The patent enables dynamic adjustment of reporting parameters including reporting periodicity, resource allocation size, and measurement frequency. The base station can modify these parameters based on UE mobility conditions, position update requirements, and network load, optimizing the balance between positioning accuracy and communication efficiency for each specific scenario.
Solution Approach 2:
The patent implements on-demand positioning reporting where resources are allocated only when positioning accuracy is required, rather than continuously allocating full resources. The base station can request positioning reports selectively based on service requirements, reducing overall resource consumption while maintaining accuracy when needed.
3Measurement precision
If frequent location reporting is implemented, then positioning accuracy is enhanced, but system resource consumption increases
Solution Approach 1:
The patent implements periodic positioning reporting with configurable intervals. Instead of continuous reporting that would maximize energy consumption, the system uses time-periodic reporting where UEs transmit position information at scheduled intervals determined by base station configuration, reducing energy usage while maintaining acceptable positioning accuracy for the service requirements.
Data Source
AI summary
A user equipment (UE) that communicates with a base station apparatus is described. The UE may include receiving circuitry configured to receive a radio resource control (RRC) message comprising first information used for indicating a first resource(s) for location reporting. The receiving circuitry may also be configured to receive on a physical downlink control channel (PDCCH), a downlink control information (DCI) format comprising second information used for activating/scheduling the location reporting. The UE may also include transmitting circuitry configured to transmit a location report according to the first information and the second information.