Phased-Array Antenna Beamforming Using Unitary Matrix Weight Vectors
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Solution Overview
Problem
In wireless communication systems, especially in high-data-rate wireless personal area networks, existing beamforming techniques face challenges in efficiently utilizing multiple antennas to overcome path loss and environmental factors, leading to suboptimal link reliability and power dissipation.
Innovation Solution
The method involves generating and applying transmitter and receiver antenna weight vectors based on a mathematical combination of received signals and training signals, using a unitary matrix of base vectors to optimize beamforming, allowing for efficient phase and amplitude control in phased antenna arrays, thereby improving link reliability and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional beamforming techniques are used with multiple antennas, then spatial gain can be achieved, but link reliability remains suboptimal due to path loss and environmental factors
Solution Approach 1:
The patent changes the parameter representation from individual antenna weights to a unitary matrix structure with base vectors. This mathematical transformation allows the beamforming weights to be expressed as combinations of orthogonal base vectors, improving link reliability through better spatial exploitation while maintaining computational tractability.
Solution Approach 2:
The beamforming weight vector is segmented into multiple base vectors that form a unitary matrix. Each base vector represents a distinct spatial component, allowing the system to separately optimize and combine multiple beamforming components to achieve superior link reliability.
2Reliability
If multiple antennas are used to overcome path loss, then transmission reliability can be improved, but power dissipation increases
Solution Approach 1:
The patent transforms the power distribution parameters across multiple antennas by using a unitary matrix structure. This ensures that the total power is optimally distributed among the antenna elements through orthogonal base vectors, improving transmission reliability while minimizing unnecessary power dissipation.
Solution Approach 2:
The beamforming weights are dynamically adjusted by selecting and combining different base vectors from the unitary matrix based on channel conditions. This dynamic adaptation allows the system to achieve reliable transmission with optimized power utilization across the antenna array.
3Productivity
If existing beamforming techniques are applied, then directional gain can be achieved, but spectral efficiency remains suboptimal in high-data-rate networks
Solution Approach 1:
The patent changes the beamforming parameter representation to use a unitary matrix with orthogonal base vectors. This mathematical structure improves spectral efficiency by enabling better spatial multiplexing and interference management in high-data-rate networks while keeping the implementation complexity manageable through the structured approach.
Solution Approach 2:
The unitary matrix structure serves multiple functions simultaneously: it provides orthogonal basis for beamforming, enables efficient power distribution, and facilitates adaptive weight calculation. This multi-functionality improves spectral efficiency across different network conditions without proportionally increasing implementation complexity.
Data Source
AI summary
A plurality of received signals are received at a first communication device, the plurality of received signals corresponding to at least one training signal having been transmitted by a second communication device a plurality of times via a plurality of antennas by the second communication device applying a respective antenna weight vector from a plurality of different antenna weight vectors each time the at least one training signal is transmitted. The first communication device generates a transmitter antenna weight vector based on a mathematical combination of at least i) the plurality of received signals, ii) the antenna weight vectors applied by the second communication device when transmitting the at least one training signal the plurality of times, and iii) the at least one training signal. The first communication device transmits the transmitter antenna weight vector to the second communication device.