UL-TDOA Resource Allocation for 5G Positioning Interference
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Solution Overview
Problem
Current resource allocation methods for uplink positioning in 5G networks, such as UL-TDOA, lead to higher interference ratios and inefficient resource utilization, particularly for multiple UEs connected to multiple eNBs, resulting in lower reception quality and increased complexity.
Innovation Solution
A new resource allocation scheme for UL-TDOA that configures UEs into user groups, assigning different transmit periods and resource elements to minimize signalization overhead and optimize SINR, allowing for flexible positioning update rates and reduced interference by using orthogonal time/frequency resources and subbands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current resource allocation methods for UL-TDOA are used, then positioning functionality is provided, but interference ratios increase and resource utilization becomes inefficient
Solution Approach 1:
The patent segments UEs into different user groups, where each group is assigned specific orthogonal time/frequency resources and subbands for UL-TDOA transmissions. This segmentation prevents all UEs from using the same resources simultaneously, thereby reducing interference ratios and improving reception quality at the LMU.
Solution Approach 2:
The patent introduces additional resource dimensions (orthogonal time resources, frequency resources, and subbands) to differentiate UL-TDOA transmissions from other uplink signals and among different user groups. This multi-dimensional resource allocation ensures orthogonality and minimizes interference.
2Adaptability or versatility
If resources are allocated to multiple UEs for positioning, then positioning coverage is improved, but resource utilization efficiency decreases
Solution Approach 1:
The patent creates user groups that can be dynamically configured and reused across multiple eNBs serving different UEs. The same resource allocation patterns and user group structures can be universally applied throughout the network, improving resource utilization efficiency while maintaining coverage for multiple UEs.
Solution Approach 2:
The patent enables dynamic adjustment of positioning update rates for different UEs by modifying transmission periodicity parameters. This allows the system to allocate resources efficiently by matching the update rate to the actual positioning needs of each UE, rather than using a fixed high rate for all UEs.
3Measurement precision
If high update rates are used for all UEs, then positioning accuracy for moving devices is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic resource allocation where the positioning update rate is adapted based on UE characteristics and movement status. Moving devices can be assigned higher update rates with more frequent transmissions, while static or slow-moving devices receive lower update rates, optimizing the balance between positioning accuracy and power consumption.
Solution Approach 2:
The patent applies different resource allocation configurations to different UEs based on their specific needs. Each UE can be assigned appropriate transmission periodicity and resource patterns tailored to its movement characteristics, ensuring that power consumption is optimized locally for each device rather than using a uniform configuration.
Data Source
AI summary
The present disclosure relates methods and apparatuses (UE, scheduler, network node) for resource allocation in a network. According to embodiments herein there are provided a new resource allocation scheme for an UL-TDOA resource allocation scheme and the related UL-PRS signals. The procedure is also applicable for RTT uplink resource allocation. The main technical effects and advantages achieved by the embodiments herein include: A resource allocation concept offering a high flexibility. The positioning update rate is configurable for each UE allowing that for semi static objects a low update rate is selected whereas for moving devices a high update rate is feasible. The signalisation overhead is minimized. The UEs may be configured semi-persistent. Using different transmit periods for each UE results in random SINR (Signal to Interference Noise Ratio) values and ensures that UEs with high pathloss are also detected. The sequences used for positioning are optimized according to the ToA measurement requirements (unlike the existing SRS).