Beamforming Codebook Optimization for Wireless Coverage
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently verifying and optimizing wireless coverage, particularly in identifying and eliminating dead zones or low coverage areas, which are often discovered after installation and require manual walk-throughs and iterative processes.
Innovation Solution
The implementation of beamforming codebook optimization in wireless communication systems, where a wireless node emits multiple reference beams based on an optimized set of codewords, and uses feedback from Internet of Things (IoT) devices to fine-tune the codebook and reduce or eliminate low coverage zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual walk-throughs and iterative processes are used to verify wireless coverage, then coverage verification can be performed, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent implements an automated feedback mechanism where RF sensors measure beam signals and provide data to a server, which processes the information and generates optimized codebook configurations. This closed-loop feedback system replaces manual walk-throughs with automated measurement, processing, and optimization cycles, significantly reducing verification time while maintaining or improving accuracy through systematic data collection and analysis.
Solution Approach 2:
The patent substitutes the mechanical manual process of walking through coverage areas with electronic automation. RF sensors, beamforming circuits, and server-based processing replace human operators, transforming a labor-intensive physical verification process into an automated electronic measurement and computation system that operates continuously and objectively.
2Reliability
If a full set of antenna elements is used in the antenna array, then beamforming performance is optimized, but the codebook complexity increases
Solution Approach 1:
The patent dynamically changes codebook parameters based on the actual number of active antenna elements. The server processes sensor feedback data to determine optimal codebook configurations tailored to the specific antenna subset being used, allowing the system to adapt codebook size and structure to match the operational antenna count, thereby reducing complexity while maintaining performance.
Solution Approach 2:
The patent implements dynamic codebook adaptation where the codebook configuration is not fixed but adjusts based on real-time conditions. The system can switch between different codebook sizes and structures depending on which antenna elements are active, enabling flexible optimization that balances performance requirements with computational and hardware constraints.
3Area of stationary object
If multiple RF beams are emitted simultaneously to cover the coverage area, then coverage is improved, but dead zones and low coverage areas still occur
Solution Approach 1:
The patent uses RF sensors distributed throughout the coverage area to measure actual beam signal strengths and provide feedback to the server. This feedback reveals dead zones and low coverage areas that were not predicted by theoretical beam patterns, enabling data-driven optimization of beamforming codebooks to eliminate these problematic areas through iterative refinement.
Solution Approach 2:
The patent performs preliminary codebook optimization by analyzing sensor feedback data and generating optimized codebook configurations before full deployment. This preliminary optimization phase allows the system to pre-identify and correct coverage deficiencies, adjusting beamforming parameters in advance to prevent dead zones from occurring during normal operation.
Data Source
AI summary
Beamforming codebook optimization in a wireless communication system (WCS) is provided. In a WCS, a wireless node (e.g., base station) simultaneously emits multiple reference beams in a coverage area based on a set of codewords that is optimized for a specific number (a full or a partial set) of antenna elements in an antenna array. The wireless node is configured to determine a different set(s) of codewords that are fine-tuned for forming the reference beams from a different number of the antenna elements in the antenna array and steer the reference beams toward identical directions. During deployment of the wireless node, there may be dead zones or low coverage zones. Aspects of the present disclosure facilitate the discovery of these low-coverage zones using feedback from multiple deployed Internet of Things (IoT) devices. Based on the feedback, the codebook of codewords may be optimized to reduce or eliminate such low coverage zones. Such an approach reduces reliance on manual walk-throughs and complicated iterative processes currently in use.