Hybrid Beamforming Training Protocol for MIMO Mode Switching
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Solution Overview
Problem
Current beam training protocols for hybrid precoding in IEEE 802.11ay are inefficient due to the need to maximize received signal power, which is no longer optimal for multiple streams or different transmission modes, leading to prolonged training times and potential service interruptions when switching between MIMO modes.
Innovation Solution
Implement a beam training protocol that identifies and communicates multiple sets of beam indices for different MIMO transmission modes, optimizing performance metrics such as SNR and data throughput, allowing for quick switching between modes without re-training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional beam training protocol maximizing received signal power is used, then beam alignment is achieved, but beam training time is prolonged and service interruptions occur when switching between MIMO modes
Solution Approach 1:
The patent applies preliminary action by pre-classifying analog beams into subsets and pre-determining multiple beam combinations corresponding to different MIMO transmission modes during the beam training phase. This allows the system to have beam alignment information ready in advance for different transmission scenarios, eliminating the need for re-training when switching modes and reducing service interruptions.
Solution Approach 2:
The patent segments the analog beams into multiple subsets and creates different beam combinations for different MIMO transmission modes. This segmentation allows the system to organize beam information in a structured way that enables quick selection based on the current transmission mode, reducing the time needed for beam training while maintaining alignment accuracy.
2Device complexity
If single beam combination is used for beam training, then training process is simplified, but the system cannot adapt to different MIMO transmission modes without re-training
Solution Approach 1:
The patent implements universality by determining multiple beam combinations that can serve different MIMO transmission modes (single-stream, multi-stream, different rank transmissions). Instead of creating separate training protocols for each mode, the system establishes a universal beam training framework where multiple beam combinations are pre-determined, allowing the same training results to be applied across various transmission scenarios.
3Power
If maximum received signal power is the beam selection criterion, then single stream transmission is optimized, but multiple stream transmission performance is not optimized
Solution Approach 1:
The patent applies local quality by selecting different beam combination selection criteria based on the specific transmission mode. For single-stream transmission, the system may use maximum received signal power criterion, while for multi-stream transmission, it uses criteria optimized for throughput and spectral efficiency. This localized optimization ensures that the beam selection is appropriately tailored to each transmission scenario's specific requirements.
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AI summary
Systems and methods of beam training for hybrid beamforming are disclosed. In some embodiments, a method of operation of a receiver includes identifying multiple sets of beam indices for use with transmissions from a transmitter using hybrid precoding. The method also includes communicating the sets of beam indices to the transmitter for use with transmissions using hybrid precoding and receiving a transmission from the transmitter using one of the sets of beam indices. In some embodiments, each set of beam indices is for a different transmission mode. In this way, a transmission mode may be changed without the need to perform re-training of beams which is typically a time consuming process.