Sidelink Decoding Paths for Overlapping DMRS and Payload Signals
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Solution Overview
Problem
Sidelink communication systems face challenges with resource allocation collisions and overlapping transmissions, leading to difficulties in decoding multiple overlapping SL transmissions, especially in scenarios with high mobility and varying channel conditions.
Innovation Solution
A client device equipped with machine learning models identifies potentially active demodulation reference signal configurations and creates decoding paths for payload transmissions using PSCCH and PSSCH signals, optimizing the decoding process to maximize the number of successful decodings by prioritizing strong transmissions and adapting to mobility conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous resource selection from preconfigured pool is used, then resource allocation flexibility is improved, but transmission collision probability increases
Solution Approach 1:
The system performs sensing-based resource selection before actual transmission, where the transmitting device monitors the resource pool, identifies occupied resources, and selects available resources in advance. This preliminary action reduces collision probability by avoiding resources already in use, while maintaining autonomous allocation flexibility.
Solution Approach 2:
The system implements a feedback mechanism where transmission success is monitored and used to adjust future resource selections. When collisions occur or transmissions fail, the device learns from these outcomes and modifies its resource selection strategy, improving reliability over time while maintaining adaptive resource allocation.
2Reliability
If multiple overlapping SL transmissions are decoded, then communication reliability is improved, but device complexity increases
Solution Approach 1:
The decoding process is segmented into distinct stages: first identifying DMRS configurations using detection models, then identifying payload transmissions based on those configurations, and finally creating decoding paths. This segmentation breaks down the complex task of decoding multiple overlapping transmissions into manageable sequential steps, reducing overall decoding complexity while maintaining reliability.
Solution Approach 2:
The patent introduces detection models as intermediary components that simplify the decoding process. These models first identify potentially active DMRS configurations and payload transmissions, creating an intermediate representation that guides the subsequent decoding process. This intermediary step reduces the complexity of directly decoding multiple overlapping transmissions by providing structured information about what to decode and how.
3Measurement precision
If detection models identify multiple DMRS configurations, then decoding accuracy is improved, but processing time increases
Solution Approach 1:
The system dynamically adjusts the number of DMRS configurations to identify based on channel conditions and mobility scenarios. In high-mobility scenarios with rapidly changing conditions, the system may limit the number of configurations to reduce processing time. In stable conditions, it can afford to identify more configurations for higher accuracy. This dynamic adaptation balances decoding accuracy with processing time requirements.
Data Source
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AI summary
According to an example embodiment, a client device is configured to receive at least one sidelink signal in a time slot over a plurality of subchannels; identify, using at least one detection model, a plurality of potentially active demodulation reference signal configurations out of a plurality of possible demodulation reference signal configurations in the time slot across the plurality of subchannels based on the at least one sidelink signal, wherein each demodulation reference signal configuration defines demodulation reference signal transmissions in the time slot; identify payload transmissions in the time slot based on the identified plurality of potentially active demodulation reference signal configurations in the time slot; and create at least one decoding path for the payload transmissions in the time slot based on the identified payload transmissions in the time slot and the identified plurality of potentially active demodulation reference signal configurations. Devices, methods and computer programs are disclosed.