Distributed Beamforming Feedback for Wireless Energy Transfer
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Solution Overview
Problem
Existing distributed beamforming techniques for wireless energy transfer in IoT networks face challenges such as energy inefficiency, complex phase synchronization, and instability under channel fading conditions, leading to suboptimal energy and data transfer.
Innovation Solution
A method and apparatus that utilize a receiver-end distributed beamforming approach with reduced search-space phase alignment, dynamic feedback, and optimized control data transmission to achieve sustained beamforming gain and efficient energy management, reducing FLOPS by 14% and search-space by 90% without degrading beamforming gain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If distributed beamforming is used to achieve N^2 power gain for wireless energy transfer, then energy transfer efficiency is improved, but phase synchronization complexity and energy consumption for coherence achievement increase
Solution Approach 1:
The system enables transmitters to autonomously determine their phase shifts by receiving feedback signals from the receiver. Each transmitter independently processes the feedback to calculate its optimal phase shift without requiring complex centralized coordination, thereby reducing synchronization complexity while maintaining beamforming gain.
Solution Approach 2:
The receiver sends feedback signals containing channel state information to the transmitters. This feedback mechanism enables each transmitter to adjust its phase shift based on actual channel conditions, achieving coherent beamforming without requiring complex pre-synchronization protocols among transmitters.
2Reliability
If receiver feedback is implemented after each iteration to achieve beamforming coherence, then beamforming gain is improved, but receiver energy depletion increases
Solution Approach 1:
The system establishes continuous feedback loops where the receiver periodically sends feedback signals to maintain beamforming coherence. This continuous adaptation allows the system to sustain high beamforming gain over time without requiring the receiver to deplete its energy reserves through excessive feedback transmissions.
Solution Approach 2:
The feedback mechanism is implemented selectively rather than continuously - the receiver sends feedback only when necessary to maintain coherence, reducing unnecessary energy consumption while still achieving the required beamforming performance.
3Measurement precision
If multiple rounds of coordination are implemented among transmitters to achieve synchronization, then beamforming precision is improved, but transmission time and energy overhead increase
Solution Approach 1:
The system performs preliminary channel estimation and phase shift calculation using feedback from the receiver before actual data transmission begins. This preliminary coordination establishes the necessary synchronization in advance, eliminating the need for multiple rounds of coordination during the transmission phase and reducing overall time overhead.
Data Source
AI summary
Apparatus and method of the present disclosure relates to facilitating at least one of wireless data communication and energy transfer using distributed beamforming in a wireless network. The present disclosure introduce a DBF scheme optimizes the receiver-end processing by significantly reducing the search-space for optimum phase shifts for each of the transmitters (102a . . . 102n). This contributes to significant reduction in energy expenditure at the energy-constrained receiver node. Also, a short broadcast feedback is employed to achieve high beamforming gain for several consecutive slots in the coherence time, thereby achieving high data rate information transfer and quick charging.