CSI-RS Feedback for Dynamic Analog Precoding
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Solution Overview
Problem
In millimeter wave communications systems, the digital-analog hybrid architecture faces performance issues due to unchanged analog precoding weights, affecting system performance and efficiency.
Innovation Solution
A CSI-RS measurement feedback method is introduced, where a terminal device sends selected antenna port numbers and a precoding matrix indicator to a network device, enabling optimized analog and digital precoding, improving hybrid beamforming and spectrum utilization efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the number of digital channels is fewer than the number of antennas in digital-analog hybrid architecture, then hardware costs and power loss are reduced, but analog precoding weights remain unchanged which adversely affects system performance
Solution Approach 1:
The patent implements dynamic analog precoding weight adjustment by having the terminal device select M antenna port numbers from S available ports and feed back corresponding PMI information. This enables the analog precoding weights to adapt dynamically to channel conditions, resolving the contradiction between reduced power loss and maintained system performance.
Solution Approach 2:
The terminal device feeds back M antenna port numbers and PMI (Precoding Matrix Indicator) to the network device, creating a feedback loop that enables the network device to determine optimized analog precoding weights. This feedback mechanism allows the system to maintain performance while using fewer digital channels, thus reducing power loss.
2Device complexity
If the number of digital channels is fewer than the number of antennas, then hardware costs are reduced, but analog precoding weights remain unchanged which adversely affects system performance
Solution Approach 1:
The patent implements dynamic analog precoding weight adjustment by having the terminal device select M antenna port numbers from S available ports and feed back corresponding PMI information. This enables the analog precoding weights to adapt dynamically to channel conditions, resolving the contradiction between reduced hardware complexity and maintained system performance.
Solution Approach 2:
The terminal device feeds back M antenna port numbers and PMI (Precoding Matrix Indicator) to the network device, creating a feedback loop that enables the network device to determine optimized analog precoding weights. This feedback mechanism allows the system to maintain performance while using fewer digital channels, thus reducing hardware complexity.
3Device complexity
If analog precoding weights remain unchanged, then device complexity is reduced, but spectrum utilization efficiency and throughput are adversely affected
Solution Approach 1:
The patent implements dynamic analog precoding weight adjustment through terminal device selection of M antenna port numbers from S ports and feedback of PMI information. This enables the analog precoding weights to adapt dynamically to channel conditions, resolving the contradiction between reduced device complexity and improved spectrum utilization efficiency.
Solution Approach 2:
The terminal device feeds back M antenna port numbers and PMI to the network device, creating a feedback loop that enables optimized analog precoding weight determination. This allows the system to improve spectrum utilization efficiency while maintaining manageable device complexity.
4Device complexity
If analog precoding weights remain unchanged, then device complexity is reduced, but throughput is adversely affected
Solution Approach 1:
The patent implements dynamic analog precoding weight adjustment through terminal device selection of M antenna port numbers from S ports and feedback of PMI information. This enables the analog precoding weights to adapt dynamically to channel conditions, resolving the contradiction between reduced device complexity and improved throughput.
Solution Approach 2:
The terminal device feeds back M antenna port numbers and PMI to the network device, creating a feedback loop that enables optimized analog precoding weight determination. This allows the system to improve throughput while maintaining manageable device complexity.
Data Source
AI summary
A CSI-RS measurement feedback method and device are provided to optimize analog and digital precoding. A network device sends S CSI-RSs to a terminal device. Each CSI-RS corresponds to one antenna port number. The terminal device sends M antenna port numbers that correspond to M CSI-RSs and sends a PMI that corresponds to a channel matrix H or the quantization result of a channel matrix H to the network device. The terminal device selects the M antenna port numbers that correspond to the M CSI-RSs from the S antenna port numbers that correspond to the S CSI-RSs, and feeds back the M antenna port numbers to the network device.