Precoding Matrix Configuration for Uplink DCI Payload Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication technologies face challenges in efficiently managing uplink precoding matrixes for multi-antenna systems, particularly with 8 antenna ports, leading to increased DCI payload and unnecessary signaling due to unclear signaling and codebook design for more than 4 layers.
Innovation Solution
A method where a network device transmits configurations associated with precoding matrixes and downlink control information (DCI) to a terminal device, enabling the terminal device to determine and apply a precoding matrix for physical uplink shared channels (PUSCH) based on the received information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If precoding matrix configurations are transmitted for each uplink transmission, then the terminal device can adapt to channel conditions, but the DCI payload size increases
Solution Approach 1:
The network device pre-configures multiple precoding matrix sets (first set and second set) with different codebook densities before uplink transmission. The terminal device selects from these pre-configured sets based on channel conditions, eliminating the need to transmit full precoding matrix configurations in DCI. This preliminary configuration approach enables channel adaptation while keeping DCI payload small.
Solution Approach 2:
The precoding matrix configurations are segmented into multiple sets with different codebook densities (first set with lower density, second set with higher density). Each set serves different transmission scenarios, allowing the system to select appropriate precision levels based on channel conditions without always transmitting complete configurations.
2Measurement precision
If codebook density is increased for 8 antenna ports, then precoding accuracy improves, but signaling overhead increases
Solution Approach 1:
The system changes the codebook density parameter based on transmission requirements. Two different codebook densities are defined: a lower density for the first set and a higher density for the second set. The network device configures appropriate codebook density according to channel conditions and transmission parameters, optimizing the balance between precoding accuracy and signaling overhead.
Solution Approach 2:
The codebook density is made dynamic rather than fixed. The terminal device can switch between different codebook density sets based on channel conditions, transmission rank, and other parameters. This dynamic adjustment allows the system to use higher precision when needed and lower precision when sufficient, reducing average signaling overhead.
Data Source
AI summary
Embodiments of the present disclosure relate to communications. According to embodiments of the present disclosure, a network device transmits at least one configuration associated with precoding matrix to a terminal device. The network device also transmits downlink control information (DCI) for scheduling a physical uplink shared channel (PUSCH) to the terminal device. The DCI comprises an indication of a precoding matrix index. The terminal device determines a precoding matrix based on the at least one configuration and the indication. The terminal device transmits the PUSCH based on the precoding matrix. In this way, the precoding matrix can be selected properly.


