UE eCSF Reporting with CPU-Aware Cross-Link Interference
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in effectively managing cross-link interference (CLI) and improving channel state feedback (CSF) due to increased processing time and complexity in computing spectral efficiency with multiple interference hypotheses.
Innovation Solution
A UE estimates a CLI channel state based on a zero power sounding reference signal (ZP-SRS) from a second UE and a downlink channel state based on a channel state information reference signal (CSI-RS), incorporating CPU specifications and timing specifications to enhance eCSF parameters, which are then reported to the network node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple interference hypotheses are considered in computing spectral efficiency, then measurement precision of channel state feedback is improved, but device complexity and processing time increase
Solution Approach 1:
The patent segments the channel state feedback process into distinct components: CLI channel state estimation based on ZP-SRS, downlink channel state estimation based on CSI-RS, and eCSF parameter computation considering multiple interference hypotheses. This segmentation allows the UE to process different interference scenarios independently and efficiently, reducing overall processing complexity while maintaining feedback accuracy.
Solution Approach 2:
The patent applies preliminary action by having the UE estimate the CLI channel state and downlink channel state in advance before computing the final eCSF parameters. The network node also provides preliminary configurations including CPU specifications and timing specifications that guide the UE's processing. This preliminary estimation reduces the computational burden during the actual feedback generation.
2Measurement precision
If multiple interference hypotheses are considered in computing spectral efficiency, then measurement precision of channel state feedback is improved, but processing time increases
Solution Approach 1:
The patent introduces dynamic elements by allowing the UE to adaptively select the number of interference hypotheses to consider based on configured CPU specifications and timing specifications. The UE can dynamically adjust its processing level to meet timing requirements while maintaining adequate feedback accuracy. The network node can also dynamically configure different interference hypothesis scenarios based on current network conditions.
3Ease of operation
If CPU specifications and timing specifications are incorporated, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the UE reports its capability indications regarding supported CPU specifications and timing specifications to the network node. The network node uses this feedback to appropriately configure the UE with suitable interference hypothesis scenarios and resource allocations. This feedback loop simplifies operation by automatically matching UE capabilities with appropriate configuration parameters.
Data Source
AI summary
A UE may estimate a CLI channel state based on a ZP-SRS from a second UE. A network node may transmit to the UE, and the UE may receive from the network node, a CSI-RS. The UE may estimate a downlink channel state based on the CSI-RS from the network node. The UE may estimate one or more eCSF parameters based on the CLI channel state, the downlink channel state, two or more interference hypotheses, and at least one of a CPU specification, a timing specification, or a UE capability indication. The UE may transmit to the network node, and the network node may receive from the UE, an eCSF report based on the one or more eCSF parameters.