Codebook Reconfiguration for Distributed MIMO Antenna Panels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current 5G New Radio (NR) technology faces challenges in optimizing distributed multiple-input multiple-output (MIMO) transmitters/receivers, particularly in configuring multiple antenna panels for efficient uplink and downlink transmissions.
Innovation Solution
The proposed solution involves a method where a user equipment (UE) determines codebooks for multiple antenna panels and receives indications from a base station to construct precoders for each panel. The UE then transmits signals through these panels, with the capability to report updates on antenna panel properties and receive corresponding updates from the base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple antenna panels are configured for distributed MIMO transmission, then the system capacity and transmission efficiency are improved, but the device complexity and configuration overhead increase
Solution Approach 1:
The patent divides the codebook configuration into panel-specific segments. Each antenna panel has its own codebook with parameters tailored to that panel's characteristics (number of antenna ports, codebook type, TCI-state). This segmentation allows independent optimization of each panel while reducing the complexity of managing a single large-scale codebook for all panels collectively.
Solution Approach 2:
The patent applies local quality by allowing different codebook configurations for different antenna panels. Each panel can have customized codebook parameters (codebookType, numberOfAntennaPorts, tci-State) according to its specific transmission requirements and channel conditions, rather than using a uniform configuration across all panels.
2Measurement precision
If separate codebooks are configured for each antenna panel, then the transmission precision and adaptability are improved, but the signaling overhead and configuration complexity increase
Solution Approach 1:
The patent dynamically adjusts codebook parameters (codebookType, numberOfAntennaPorts, tci-State) based on transmission conditions and panel characteristics. These parameter changes enable adaptive optimization of transmission precision for each panel while the network can manage the signaling overhead through efficient RRC configuration and MAC-CE activation mechanisms.
3Reliability
If the codebook configuration is updated frequently to adapt to channel changes, then the transmission reliability is improved, but the processing overhead and system latency increase
Solution Approach 1:
The patent implements dynamic codebook configuration where codebook parameters can be updated based on changing channel conditions and transmission requirements. The system allows flexible reconfiguration of panel-specific codebooks through RRC signaling and MAC-CE commands, enabling adaptation to channel variations while managing processing overhead through efficient update mechanisms.
Data Source
AI summary
In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. The UE determines a first codebook and a second codebook associated with a first antenna panel and a second antenna panel. The UE receives, from a base station, a first indication for constructing, based on the first codebook, a first precoder to be applied to the first antenna panel. The UE receives, from the base station, a second indication for constructing, based on the second codebook, a second precoder to be applied to the second antenna panel. The UE transmits, through the first antenna panel, first signals generated according to the first precoder and directed to the base station. The UE transmits, through the second antenna panel, second signals generated according to the second precoder and directed to a wireless device.