Beamforming Protocol Antenna Weight Vector Calculation
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently performing beamforming, particularly in determining optimal antenna weight vectors for directional communication, which affects data transmission quality and error rates across various communication channels.
Innovation Solution
The implementation of beamforming protocols that utilize both implicit and explicit feedback mechanisms to calculate and adjust antenna weight vectors, allowing for omni-directional and directional transmissions, and enabling communication devices to declare their capabilities and operate according to classes A, B, or C, facilitating effective beamforming training and data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming training protocols are implemented to determine optimal antenna weight vectors, then data transmission quality is improved, but communication protocol complexity increases
Solution Approach 1:
The beamforming training protocol is divided into multiple distinct phases: capability declaration phase where devices announce their beamforming capabilities, training phase where antenna weight vectors are determined through explicit feedback mechanisms, and implementation phase where the trained beamforming parameters are applied. This segmentation allows each phase to be optimized independently while maintaining overall system reliability.
Solution Approach 2:
The patent implements preliminary beamforming capability declaration and training before actual data transmission begins. Devices exchange capability information and determine optimal antenna weight vectors in advance, allowing the system to prepare beamforming parameters proactively rather than reactively, thereby improving transmission quality without adding complexity to the core data transmission protocol.
2Measurement precision
If explicit feedback mechanisms are used to calculate antenna weight vectors, then beamforming accuracy is improved, but feedback overhead increases
Solution Approach 1:
The patent applies different feedback mechanisms based on local conditions and device capabilities. Explicit feedback with high precision is used when beamforming accuracy is critical, while simplified feedback mechanisms are used in scenarios where overhead must be minimized. The system dynamically selects the appropriate feedback level based on the specific communication context, device class, and channel conditions.
Solution Approach 2:
The feedback mechanism parameters are made adjustable based on communication requirements. The system can change feedback granularity, precision levels, and reporting frequencies dynamically. For example, during initial connection establishment, more frequent and precise feedback is exchanged, while during stable data transmission, feedback is reduced to essential updates only, thereby balancing accuracy with overhead.
3Adaptability or versatility
If devices operate with different beamforming classes (A, B, or C), then system adaptability is improved, but device compatibility challenges increase
Solution Approach 1:
The patent defines three beamforming device classes (A, B, and C) with progressively different capabilities, where each class can operate in multiple modes. Class A devices support full bidirectional beamforming, Class B devices support unidirectional beamforming, and Class C devices support basic beamforming. The capability declaration protocol allows devices to announce their class, enabling automatic compatibility matching and fallback mechanisms that ensure universal interoperability across all device types.
Solution Approach 2:
The system dynamically adjusts beamforming operations based on the capabilities of participating devices. During capability declaration, devices exchange information about their class and supported features. The beamforming training protocol then adapts its behavior accordingly, selecting appropriate training sequences, feedback mechanisms, and parameter sets that are compatible with the least capable device in the communication pair, ensuring seamless operation across heterogeneous device classes.
Data Source
AI summary
Beamforming protocol for wireless communications. Various communications are made between an originating communication device and a remote communication device to effectuate steered communications there between. The beamforming approach presented herein is applicable and adaptable to communication devices having any combination of omni-directional and directional transmit and receive functionality (e.g., the transmit functionality and the receive functionality both being omni-directional; the transmit functionality being directional and the receive functionality being omni-directional; or the transmit functionality and the receive functionality both being are directional). The beamforming protocol presented herein allows for all combinations of communication device types and also provides collision rules as may be performed in accordance with the beamforming configuration.