CSI Feedback Sub-Sampling for Lower-Latency Massive MIMO
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently computing channel state feedback, particularly in high-dimensional antenna configurations, which leads to increased resource consumption and latency, especially in 5G networks using millimeter wave communication and massive MIMO technology.
Innovation Solution
The method involves sub-sampling resource blocks in the channel state information reference signal (CSI-RS) received from the base station before performing channel state feedback computations, reducing the input dimensionality and computational complexity while maintaining minimal changes to the CSI-RS processing flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If channel state feedback computations are performed using all resource blocks, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent segments the resource blocks into a first set and a second set, where the first set is used for channel state feedback computations and the second set is not used. This segmentation allows the system to perform computations using only a subset of resource blocks, reducing computational complexity while maintaining acceptable feedback accuracy for communication parameter adaptation.
Solution Approach 2:
The patent extracts or removes the second set of resource blocks from the full set of resource blocks available for channel state feedback computations. By taking out unnecessary resource blocks from the computation process, the system reduces the dimensionality of computations and lowers power consumption while still providing sufficient channel state information.
2Measurement precision
If channel state feedback computations are performed using all resource blocks, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent segments the resource blocks into a first set and a second set, where only the first set is used for channel state feedback computations. This segmentation reduces the computational burden and associated power consumption while maintaining sufficient feedback accuracy for communication parameter adaptation.
Solution Approach 2:
The patent extracts or removes the second set of resource blocks from the computation process. By taking out unnecessary resource blocks, the system reduces the energy required for channel state feedback computations while still providing adequate channel state information for communication parameter adaptation.
3Measurement precision
If channel state feedback computations are performed using all resource blocks, then measurement precision is improved, but latency increases
Solution Approach 1:
The patent segments the resource blocks into a first set and a second set, where computations are performed only on the first set. This segmentation reduces the computational time required for channel state feedback, thereby reducing feedback latency and enabling more timely communication parameter adaptation.
Solution Approach 2:
The patent extracts or removes the second set of resource blocks from the computation process. By taking out unnecessary resource blocks, the system reduces the time required for channel state feedback computations, thereby reducing latency and enabling faster communication parameter adaptation.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, a channel state information reference signal that includes a plurality of resource blocks. The UE may sub-sample one or more portions of the plurality of resource blocks prior to performing one or more channel state feedback computations. Accordingly, the UE may perform the one or more channel state feedback computations based at least in part on the one or more sub-sampled portions of the plurality of resource blocks and transmit, to the base station, a channel state feedback report based at least in part on the one or more channel state feedback computations that are performed using the one or more sub-sampled portions of the plurality of resource blocks. Numerous other aspects are provided.