Pseudo-random muting for SRS transmission occasions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems face interference issues due to overlapping SRS transmissions from multiple UEs, which degrade channel estimation and reduce throughput in multi-TRP communication scenarios, especially in 5G NR networks.
Innovation Solution
Implementing pseudo-random muting techniques by using an offset and binary sequences to selectively mute or transmit SRS occasions, ensuring reduced interference through pseudo-random selection of SRS transmission occasions based on a pseudo-random function and an initialization value, thereby increasing sparseness of SRS transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple UEs transmit SRS simultaneously in multi-TRP communication scenarios, then channel estimation capability is improved, but intra-cell and inter-cell interference increases
Solution Approach 1:
The patent implements periodic SRS transmission with configurable periodicity and offset parameters. UEs transmit SRS in periodic bursts rather than continuously, allowing the network to schedule multiple UEs at different time instances. This periodic structure enables channel estimation from multiple UEs while controlling interference through time separation.
Solution Approach 2:
The network node performs preliminary scheduling of SRS resources before actual transmission. By pre-assigning time-frequency resources and configuring transmission parameters (periodicity, offset, duration) in advance, the network ensures that multiple UEs transmit without collision, thereby improving channel estimation while avoiding interference.
2Measurement precision
If SRS transmission density is increased to improve channel estimation quality, then measurement precision improves, but system resource consumption and interference increase
Solution Approach 1:
The patent applies different SRS transmission configurations to different UEs based on their specific channel conditions and service requirements. Each UE can have customized periodicity, offset, and duration parameters, allowing the system to optimize channel estimation quality for each UE while minimizing overall resource consumption by not uniformly increasing transmission density across all UEs.
3Measurement precision
If SRS transmission occasions are increased to improve channel estimation, then measurement precision improves, but collision probability between multiple UEs increases
Solution Approach 1:
The network node receives SRS transmissions from multiple UEs and provides feedback through downlink control information (DCI) to confirm successful reception or request retransmission. This feedback mechanism allows the network to detect and resolve collisions, ensuring reliable channel estimation even when multiple UEs are scheduled for SRS transmission.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive information indicating an offset for a pseudo-random function used to select a set of sounding reference signal (SRS) transmission occasions from a plurality of SRS transmission occasions. The UE may transmit one or more SRSs on the set of SRS transmission occasions based at least in part on the offset and the pseudo-random function. Numerous other aspects are described.