Antenna Subarray Interpolation for Digital Beamforming
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Solution Overview
Problem
Current antenna systems face challenges in optimizing beamforming for wireless communications, as existing mechanisms are slow and may temporarily decrease network performance due to reliance on trial and error methods, and active antenna arrays are costly.
Innovation Solution
The method involves configuring an antenna system with individual antenna elements arranged in subarrays, obtaining channel measurements, determining channel covariance information, and interpolating this information to control the combining of antenna elements, enabling efficient digital beamforming without costly baseband access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial and error methods are used to optimize antenna settings, then network performance is eventually improved, but the optimization process is slow and may temporarily decrease network performance
Solution Approach 1:
The patent replaces the mechanical trial-and-error optimization process with a digital signal processing approach. By using channel covariance information and interpolation algorithms, the system directly calculates optimal antenna settings without iterative testing, eliminating the time loss and performance degradation associated with trial-and-error methods.
Solution Approach 2:
The patent introduces channel covariance information as an intermediary that bridges the gap between channel measurements and optimal antenna settings. This intermediary enables direct computation of optimized settings through interpolation, avoiding the need for trial-and-error optimization while maintaining reliable network performance.
2Adaptability or versatility
If active antenna arrays with individual access to each antenna element are used, then device-specific beamforming capability is achieved, but system cost increases significantly
Solution Approach 1:
The patent segments the antenna array into multiple subarrays, where each subarray is controlled by a single transceiver unit. This segmentation allows the system to achieve beamforming capabilities similar to fully active arrays while reducing the number of required transceiver units, thereby lowering system cost and complexity.
Solution Approach 2:
The patent uses channel covariance information from measured subarrays to interpolate and estimate channel characteristics for unmeasured antenna elements. This copying approach allows the system to achieve device-specific beamforming capabilities without requiring individual access to each antenna element, reducing hardware complexity while maintaining adaptability.
3Device complexity
If antenna arrays are split into multiple subarrays with passive feeding networks, then system cost is reduced, but the area where maximum antenna array gain is achievable is limited
Solution Approach 1:
The patent uses channel covariance information as an intermediary to extend the effective coverage area. By interpolating covariance information across the entire antenna array, the system can achieve device-specific beamforming and maintain maximum antenna array gain over a larger area than would be possible with passive feeding networks alone.
Solution Approach 2:
The patent changes the parameter of antenna element combining by controlling the combining based on interpolated channel covariance information. This allows the system to dynamically adjust beamforming parameters to maintain optimal performance across a wider coverage area, overcoming the limitations of passive feeding networks.
Data Source
Figure 1~2b
Figure 2c~4
Figure 2d~2d(b)
AI summary
There is provided mechanisms for configuring an antenna system comprising individual antenna elements arranged in at least two antenna subarrays. Each pair of antenna subarrays has a respective first spatial separation. Each pair of the individual antenna elements has a respective second spatial separation. A method is performed by a network device. The method comprises obtaining channel measurements for each of the at least two antenna subarrays. The method comprises determining channel covariance information between the subarrays using the obtained channel measurements. The method comprises determining channel covariance information between all individual antenna elements of the antenna system by interpolating the channel covariance information between the subarrays according to a spatial relation between all first spatial separations and all second spatial separations. The method comprises controlling combining of the individual antenna elements of the antenna system based on the determined channel covariance information between all the individual antenna elements.