Wireless UCI Basis-Vector Reporting for Low-Doppler Channel Accuracy
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Solution Overview
Problem
The precoding matrix indicator (PMI) in new radio (NR) systems fails to accurately reflect downlink channel states at low and medium Doppler frequency shifts, leading to performance loss in downlink transmission.
Innovation Solution
The method involves transmitting and receiving uplink control information (UCI) that includes indexes of spatial, frequency, and time domain basis vectors, utilizing discrete Fourier transformation vectors to enhance channel state representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PMI is used for downlink transmission, then the transmission can be performed, but the channel state representation becomes inaccurate at low and medium Doppler frequency shifts
Solution Approach 1:
The patent segments the channel representation into multiple orthogonal basis vectors (first, second, third basis vectors) that can independently capture different channel characteristics. This segmentation allows the system to represent complex channel states more accurately than a single PMI can achieve, particularly for low and medium Doppler frequency shifts.
Solution Approach 2:
The patent introduces additional dimensions for channel representation by using multiple basis vectors instead of relying solely on PMI. This dimensional expansion enables more comprehensive characterization of channel state information, improving accuracy in representing channels with low and medium Doppler frequency shifts.
2Reliability
If multiple basis vectors are used to improve channel state representation, then transmission performance improves, but the complexity of the system increases
Solution Approach 1:
The patent employs dynamic selection and combination of orthogonal basis vectors based on channel conditions. The system adaptively determines which basis vectors are most relevant for representing the current channel state, allowing it to maintain high transmission performance while managing complexity through selective rather than exhaustive use of basis vectors.
Solution Approach 2:
The patent changes the parameters of channel representation by using multiple basis vectors with different properties to represent different aspects of the channel state. This parameter-based approach allows flexible adaptation to varying channel conditions without requiring a complete redesign of the system architecture.
Data Source
AI summary
A method of wireless communication is provided, which includes: transmitting, by a terminal device, first UCI, where the first UCI includes: indexes of L SD basis vectors, indexes of Mv FD basis vectors, and indexes of Q TD basis vectors, where the SD basis vector is a two-dimensional DFT vector with a length of N1N2, the FD basis vector is a DFT vector with a length of N3, and the TD basis vector is a DFT vector with a length of N4, where N1, N2, N3, N4, L, Mv and Q are all positive integers.