5G UE Channel State Information Reporting Complexity Reduction
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Solution Overview
Problem
In 5G wireless networks, user equipment (UE) faces high computational complexity when reporting channel state information (CSI) both periodically and aperiodically, leading to increased battery consumption and resource utilization, especially with the growing number of transmit antennas.
Innovation Solution
The method reduces UE computational complexity by utilizing rank information and precoding matrix index (RI/PMI) computed during periodic reporting to restrict the search space for aperiodic CSI reporting, allowing the network to assist the UE in selecting codebook elements and reducing the number of computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If UE performs full search for CSI in both periodic and aperiodic reporting modes, then measurement precision is maintained, but device complexity and energy consumption increase significantly
Solution Approach 1:
The network performs preliminary action by providing RI/PMI feedback from periodic reporting to guide the aperiodic reporting process. The UE uses this pre-provided information to restrict the search space for codebook elements during aperiodic CSI reporting, thereby reducing computational complexity while maintaining measurement precision.
Solution Approach 2:
The network acts as an intermediary by providing RI/PMI feedback that mediates between the UE's periodic and aperiodic reporting requirements. This intermediary information allows the UE to efficiently perform aperiodic reporting without conducting a full search, thus reducing complexity while preserving accuracy.
2Measurement precision
If UE performs full search for CSI in both periodic and aperiodic reporting modes, then measurement precision is maintained, but use of energy increases
Solution Approach 1:
The network performs preliminary action by providing RI/PMI feedback from periodic reporting to guide the aperiodic reporting process. The UE uses this pre-provided information to restrict the search space for codebook elements during aperiodic CSI reporting, thereby reducing computational complexity while maintaining measurement precision.
Solution Approach 2:
The invention extracts only the necessary computational effort for aperiodic reporting by using RI/PMI feedback to restrict the search space. Instead of performing a full search, the UE extracts and processes only the relevant codebook elements, significantly reducing energy consumption while maintaining CSI measurement precision.
3Measurement precision
If UE performs full search for CSI in both periodic and aperiodic reporting modes, then measurement precision is maintained, but hardware resources are over-utilized
Solution Approach 1:
The network performs preliminary action by providing RI/PMI feedback from periodic reporting to guide the aperiodic reporting process. The UE uses this pre-provided information to restrict the search space for codebook elements during aperiodic CSI reporting, thereby reducing computational complexity while maintaining measurement precision.
Solution Approach 2:
Instead of performing a full search (excessive action), the UE performs only the necessary partial search guided by RI/PMI feedback. This partial action suffices for aperiodic reporting requirements, reducing hardware resource utilization while maintaining adequate measurement precision.
Data Source
AI summary
Using channel state information (CSI), e.g., rank information, precoding matrix index, etc., that is reported periodically by a user equipment, a complexity of reporting of aperiodic CSI reporting can be reduced, by reducing a search space of a codebook used for the aperiodic CSI reporting, when the UE is configured with periodic and aperiodic CSI reporting. A periodic configuration of a mobile device is facilitated for transmissions of channel state data periodically, and, in response to sending a reference signal, first channel state data of the channel is received according to the periodic configuration. Based on the first channel state data, an aperiodic configuration of the mobile device can be facilitated for transmissions of the channel state data aperiodically according to aperiodic requests received by the mobile device. Then, second channel state data can be received by the network device according to the aperiodic configuration.


