CSI Reporting via Basis Vector Selection
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately estimating the channel state information (CSI) between user equipment (UE) and base stations (BS), particularly in 5G/NR systems, due to limitations in CSI reporting mechanisms, which affect the efficiency of wireless data communication.
Innovation Solution
The proposed solution involves a method for CSI reporting based on a codebook, where the UE identifies and transmits N consecutive basis vectors, with Mυ basis vectors being selected when N > Mυ, and the BS receives and processes these vectors to generate a CSI report, including an indicator for the selected Mυ basis vectors, to enhance channel estimation and communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the UE reports all N basis vectors in the CSI report, then the channel estimation accuracy is improved, but the reporting overhead and complexity increase
Solution Approach 1:
The patent extracts only the most essential Mυ basis vectors from the complete set of N basis vectors for CSI reporting. The UE identifies N consecutive basis vectors from a codebook and selects Mυ vectors (where Mυ ≤ N) that capture the dominant channel characteristics, transmitting only these selected vectors to the gNB. This extraction principle reduces reporting overhead while preserving the most critical channel state information.
Solution Approach 2:
The patent applies partial action by reporting only a subset (Mυ out of N) of the complete basis vectors rather than all vectors. This partial reporting strategy provides sufficient channel estimation accuracy for practical purposes while significantly reducing the feedback burden on the UE and processing requirements at the gNB, avoiding the need to transmit excessive information.
2Device complexity
If the UE selects fewer basis vectors (Mυ < N) for CSI reporting, then the reporting overhead is reduced, but the channel estimation accuracy deteriorates
Solution Approach 1:
The patent changes the parameter Mυ (number of reported basis vectors) to optimize the trade-off between overhead and accuracy. The gNB configures Mυ based on channel conditions, UE capability, and service requirements. When channel conditions are favorable or services require high precision, Mυ is set closer to N. When overhead needs reduction, Mυ is set smaller, maintaining an optimal balance dynamically adapted to system conditions.
3Adaptability or versatility
If the codebook size N3 is increased to provide more basis vectors, then the CSI reporting flexibility is improved, but the selection complexity and processing time increase
Solution Approach 1:
The patent segments the large codebook of N3 basis vectors into N consecutive subsets, where N ≤ N3. The UE identifies N consecutive basis vectors starting from index Minit, and from these N vectors, selects Mυ vectors for reporting. This segmentation approach maintains flexibility by providing multiple consecutive options while reducing processing complexity compared to searching through the entire N3-sized codebook.
Data Source
AI summary
A method for operating a user equipment (UE) comprises receiving information about a channel state information (CSI) report, the information including information about two numbers for basis vectors, N and Mυ, where N≥Mυ; identifying N consecutive basis vectors with indices Minit+i, i=0, 1, . . . , N−1 starting at index Minit, wherein the N consecutive basis vectors belong to a set of N3 basis vectors, and N≤N3; determining Mυ basis vectors, wherein: when N=Mυ, the Mυ basis vectors=the N consecutive basis vectors, and when N>Mυ, the Mυ basis vectors are selected from the N consecutive basis vectors; determining the CSI report based on the Mυ basis vectors, wherein when N>Mυ, the CSI report includes an indicator indicating an information about the selected Mυ basis vectors; and transmitting the CSI report including the indicator indicating the information about the selected Mυ basis vectors when N>Mυ.