Capability Information Feedback for Adaptive CSI Codebooks
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Solution Overview
Problem
In MIMO wireless communication systems, CSI feedback involves high computational complexity and large overhead, with terminals having varying computing capabilities and the base station lacking knowledge of the actual rank, leading to inefficient resource allocation and limited CSI precision.
Innovation Solution
A method and apparatus for capability information feedback, utilizing discrete Fourier transform vectors and weighted basis vectors to compress CSI feedback, along with priority-based discarding of partial precoding information to reduce overhead and align with terminal capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a quantized channel matrix is fed back to reduce overhead, then feedback overhead is reduced, but CSI quantization precision deteriorates
Solution Approach 1:
The codebook is segmented into multiple codebook groups, each group containing codebooks of different sizes. The terminal selects an appropriate codebook group based on channel conditions and rank, allowing flexible trade-off between overhead and precision. Different codebook sizes within groups provide varying quantization precision levels.
Solution Approach 2:
The system dynamically adapts the codebook selection based on terminal capability information and channel conditions. The base station configures multiple codebook groups with different properties, and the terminal dynamically selects the most suitable codebook for current transmission conditions, optimizing the balance between feedback overhead and CSI precision.
2Productivity
If high-performance precoding is implemented to improve transmission efficiency, then transmission efficiency is improved, but computational complexity increases
Solution Approach 1:
The system changes the parameter of codebook size and type based on terminal capability. By configuring multiple codebook groups with different sizes and properties, the system adapts the computational complexity to match terminal capabilities while maintaining high transmission efficiency when possible.
Solution Approach 2:
The system implements partial high-performance precoding by selecting codebooks of appropriate size based on terminal capability. When terminal computing power is limited, a subset of optimal precoding functions is used rather than the full set, achieving acceptable transmission efficiency without excessive computational burden.
3Measurement precision
If the base station allocates more resources for CSI feedback to improve precision, then CSI precision is improved, but resource allocation efficiency deteriorates due to unknown terminal capability
Solution Approach 1:
The terminal feeds back capability information indicating its computing power and supported features. The base station uses this feedback to appropriately allocate resources for CSI feedback, matching the allocation to terminal capability and avoiding both waste and insufficiency.
Solution Approach 2:
The terminal preliminarily reports its capability information before actual CSI feedback. This preliminary action allows the base station to pre-configure appropriate resource allocation and codebook groups, ensuring efficient resource usage while achieving required CSI precision.
Data Source
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AI summary
Provided are a capability information feedback method and apparatus, and a channel state information feedback method and apparatus. The capability information feedback method comprises: transmitting, by a first communication node, capability information to a second communication node, where the capability information is used for indicating a capability of the first communication node; and receiving, by the first communication node, parameter signaling which is transmitted by the second communication node and corresponds to the capability of the first communication node. Through the method, the first communication node feeds the capability information supported by the first communication node back to the second communication node so that the second communication node can perform scheduling based on the capability of the first communication node, thereby reducing the system overhead and improving the system performance.