Two-Dimensional Antenna Array Codebook Design for Wireless Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing the increasing demand for mobile data traffic and improving radio interface efficiency, particularly in supporting new applications and deployments with existing one-dimensional antenna arrays, which are limited in their ability to effectively utilize spatial and frequency selective channels.
Innovation Solution
The design and implementation of a two-dimensional transmit antenna array with a codebook structure that includes specific configurations for antenna ports, oversampling factors, beam groups, and beam skip numbers, allowing for the determination of precoding matrix indicators (PMIs) to enhance communication efficiency and adapt to varying channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a one-dimensional antenna array is used, then the device complexity is low, but the communication efficiency and adaptability to spatial and frequency selective channels are limited
Solution Approach 1:
The patent transitions from a one-dimensional antenna array to a two-dimensional antenna array configuration. This dimensional change enables the system to exploit both spatial and frequency selective fading characteristics, thereby improving communication efficiency and adaptability while maintaining manageable complexity through structured codebook design
2Productivity
If the number of antenna ports is increased to support higher data traffic, then the communication capacity increases, but the codebook structure and configuration complexity increase
Solution Approach 1:
The patent segments the codebook configuration into multiple independent parameters including first and second quantities of antenna ports, first and second oversampling factors, first and second quantities of beams, and first and second beam skip numbers. This segmentation allows for systematic management of complexity while supporting high data traffic capacity through structured parameter combinations
Solution Approach 2:
The patent employs multiple configurable parameters (antenna ports, oversampling factors, beam quantities, beam skip numbers) that can be adjusted to optimize performance. By changing these parameters, the system adapts to different channel conditions and traffic requirements without requiring a complete redesign of the codebook structure
3Adaptability or versatility
If beam grouping configurations are added to manage spatial channels, then the adaptability to channel conditions improves, but the configuration parameters and processing complexity increase
Solution Approach 1:
The patent introduces dynamic beam grouping configurations that can be adjusted based on channel conditions. The system can dynamically select from different beam group configurations and adjust beam skip numbers to optimize performance for specific spatial and frequency selective fading scenarios, thereby improving adaptability while managing complexity through structured parameter design
Data Source
AI summary
A base station (BS) capable of communicating with a user equipment (UE) includes a transmitter configured to transmit, to the UE, downlink signals including precoding matrix indicator (PMI) codebook parameters comprising: first and second quantities of antenna ports, N1 and N2, indicating respective quantities of antenna ports in first and second dimensions of a dual-polarized antenna array at the BS; first and second oversampling factors, O1 and O2, indicating respective oversampling factors for Discrete Fourier Transform (DFT) beams in the first and second dimensions; and a beam group configuration among a plurality of beam group configurations. The BS also includes a receiver configured to receive uplink signals including a plurality PMIs from the UE determined using a PMI codebook corresponding to the transmitted PMI codebook parameters; and determine a precoder using the received PMIs. Other embodiments including methods and UEs and methods are disclosed.