mmWave Beam Tracking via Embedded Training
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Solution Overview
Problem
Millimeter-wave (mmWave) wireless personal area networks (WPAN) face challenges due to signal attenuation by oxygen and obstructions, requiring improved throughput and reliability, which existing beamforming techniques struggle to maintain efficiently, especially in non-stationary environments and dense populations.
Innovation Solution
A novel beam tracking procedure that updates transmit and receive antenna weight vectors recursively using perturbed vectors during data transmission, eliminating the need for dedicated tracking time and reducing beamforming overhead, while maintaining beamforming gain through distributed training within data packets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated beam tracking time is allocated separately from data transmission, then beamforming accuracy is improved, but system throughput and efficiency deteriorate due to tracking overhead
Solution Approach 1:
The patent combines beam tracking and data transmission into a unified process by embedding training sequences within data packets. The receiver uses these embedded training sequences to update channel estimates and refine beamforming weights recursively, eliminating the need for separate dedicated tracking time slots while maintaining beamforming accuracy.
Solution Approach 2:
The patent enables continuous beam tracking during ongoing data transmission by recursively updating beamforming weights using training sequences embedded in each data packet. This continuous adaptation maintains accurate beamforming without interrupting data flow, unlike traditional methods that require periodic dedicated tracking intervals.
2Reliability
If frequent beam tracking is performed to maintain beamforming gain in non-stationary environments, then reliability is improved, but tracking overhead and complexity increase
Solution Approach 1:
The patent implements dynamic beam tracking by recursively updating beamforming weights based on received training sequences during data transmission. The system adapts tracking frequency and intensity to environmental conditions, performing updates continuously when channel conditions change rapidly while reducing overhead in stable conditions.
Solution Approach 2:
The receiver autonomously performs beam tracking by extracting training sequences from incoming data packets and using them to update channel estimates and refine beamforming weights. This self-service approach eliminates the need for complex coordinated tracking protocols between transmitter and receiver, reducing overall system complexity.
3Measurement precision
If traditional dedicated beam tracking protocols are used, then beamforming accuracy is maintained, but data transmission efficiency deteriorates due to time allocation for tracking
Solution Approach 1:
The patent merges beam tracking functionality with data transmission by embedding training sequences within data packets. This allows the system to perform beam tracking and data transmission simultaneously, eliminating the time loss associated with separate dedicated tracking protocols while maintaining beamforming accuracy through recursive weight updates.
Solution Approach 2:
The patent makes data packets serve multiple functions: they carry both data information and embedded training sequences for beam tracking. This multi-functionality allows the same transmission medium to simultaneously support data communication and channel estimation, eliminating the need for separate tracking time allocations.
Data Source
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AI summary
Briefly, a mechanism to performing beam tracking during an exchange of data packets disclosed. A perturbation on a transmit or receive beamforming vector is added for the transmission or reception of each data packet. The perturbation may be a minimum allowed phase rotation.