Codebook Transformation for Virtualized Active Antenna Systems
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Solution Overview
Problem
Current Active Antenna Systems (AAS) in 4G and 5G wireless networks face challenges in designing a cross-optimized precoding matrix and port-to-antenna mapping matrix for virtualized AAS, which affects the efficiency of signal transformation and Precoding Matrix Indication (PMI) estimation in virtualized antenna domains.
Innovation Solution
The solution involves transforming a codebook from a non-virtualized antenna domain to a virtualized antenna domain using a port-to-antenna mapping matrix, allowing for optimized PMI estimation by selecting a precoding matrix that minimizes the difference between the original and transformed matrices, thereby enhancing signal transformation efficiency in virtualized AAS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a codebook is transformed from non-virtualized antenna domain to virtualized antenna domain using port-to-antenna mapping matrix, then the beamforming performance and signal transformation efficiency are improved, but the complexity of codebook design and optimization increases
Solution Approach 1:
The codebook is pre-transformed from the non-virtualized antenna domain to the virtualized antenna domain using the port-to-antenna mapping matrix before actual signal transmission. This preliminary transformation ensures that the codebook is already optimized for the virtualized domain, improving signal transformation efficiency during operation without requiring real-time optimization.
Solution Approach 2:
The invention transforms the codebook parameters by applying a mathematical transformation based on the port-to-antenna mapping matrix. This changes the parameter representation of the codebook from one domain to another, enabling optimized beamforming performance in the virtualized antenna domain while systematically managing the design complexity through established transformation methods.
2Reliability
If joint optimization of codebook and port-to-antenna mapping matrix is performed, then beamforming performance is enhanced, but the number of reference signals required for optimization increases
Solution Approach 1:
The joint optimization process is segmented into two independent stages: first optimizing the port-to-antenna mapping matrix, then optimizing the codebook based on the fixed mapping matrix. This segmentation allows each optimization to be performed separately with reduced reference signal requirements, rather than requiring simultaneous optimization of both parameters which would demand excessive reference signals.
Solution Approach 2:
The port-to-antenna mapping matrix is preliminarily optimized and fixed before codebook optimization begins. This preliminary action establishes a stable foundation that reduces the complexity and reference signal requirements for the subsequent codebook optimization, achieving joint optimization benefits while minimizing resource consumption.
3Measurement precision
If precoding matrix is selected to minimize difference between original and transformed matrices, then signal transformation accuracy is improved, but the computational complexity of PMI estimation increases
Solution Approach 1:
The invention transforms the codebook parameters using a systematic mathematical approach based on the port-to-antenna mapping matrix, which provides a deterministic transformation rule. This parameter transformation ensures accurate signal transformation by maintaining the essential characteristics of the original codebook while adapting it to the virtualized domain, reducing the need for complex iterative optimization in PMI estimation.
Data Source
AI summary
Systems and methods are disclosed herein that related to determining and using a codebook in a virtualized Active Antenna System (AAS). In some embodiments, a first radio node that is configured to communicate with a second radio node comprises a radio interface and processing circuitry configured to transform a first codebook that is in a non-virtualized antenna domain to a second codebook that is in a virtualized antenna domain based on a port to antenna mapping matrix used to transform a signal from the virtualized antenna domain to the non-virtualized antenna domain prior to transmission of the signal in a corresponding virtualized cell or sector. The processing circuitry is further configured to receive a transmit signal from the second radio node to thereby provide a received signal and perform Precoding Matrix Indication (PMI) estimation based on the received signal using the second codebook in the virtualized antenna domain.