Iterative Beamforming Training for 60 GHz MIMO Path Loss
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High data rate wireless communication systems face significant path loss and inefficiencies due to directional antennas at frequencies near 60 GHz, requiring improved beamforming techniques to enhance link budget and reduce power dissipation.
Innovation Solution
The method involves a communication system where devices exchange training signals to determine and refine antenna weight vectors, enabling efficient beamforming by iteratively adjusting transmit and receive steering vectors to optimize channel estimates and feedback, thereby improving spatial selectivity and link reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If directional antennas are used at 60 GHz frequencies, then spatial selectivity is improved, but path loss increases significantly
Solution Approach 1:
The patent implements dynamic beamforming by iteratively adjusting transmit and receive steering vectors based on feedback from training signals. The system dynamically adapts the beam direction and shape to maximize signal strength while minimizing path loss, transforming the static directional antenna limitation into a dynamic optimization problem that can be solved in real-time.
Solution Approach 2:
The patent employs feedback mechanisms where receiving devices send feedback signals to transmitting devices about channel conditions and received signal quality. This feedback loop enables continuous refinement of beamforming parameters, allowing the system to compensate for path loss by adjusting beam orientation and concentration based on actual received signal strength.
2Reliability
If beamforming is implemented to focus transmission power, then transmission reliability is improved, but device complexity increases
Solution Approach 1:
The patent segments the beamforming process into distinct phases: initial beam selection, training signal exchange, channel estimation, and iterative refinement. Each phase handles a specific aspect of beamforming complexity separately, making the overall system more manageable and easier to implement while maintaining high transmission reliability.
Solution Approach 2:
The patent performs preliminary actions by exchanging training signals before actual data transmission to characterize the communication channel. This preliminary channel estimation allows the system to pre-calculate optimal beamforming parameters, reducing the complexity during actual transmission and improving reliability through preparedness.
3Loss of energy
If iterative beamforming refinement is performed, then link budget is improved, but training time increases
Solution Approach 1:
The patent implements periodic action through iterative refinement where beamforming parameters are updated in repeated cycles. Each iteration uses feedback from the previous cycle to improve accuracy, systematically improving link budget while containing training time through structured periodic updates rather than continuous optimization.
Solution Approach 2:
The patent applies partial action by performing a limited number of iterative refinements rather than exhaustive optimization. This partial refinement approach achieves sufficient link budget improvement for reliable communication while avoiding the excessive time consumption that would result from complete optimization, finding a practical balance between performance and time.
Data Source
AI summary
A first communication device receives a plurality of training signals associated with a transmit beamforming training portion of a current iteration of a beamforming procedure between the first communication device and a second communication device. A receive antenna weight vector (AWV) is applied to an antenna array as each of the plurality of training signals is received. A channel estimate is determined based on reception of the plurality of training signals, and feedback is determined based on the channel estimate. The feedback is transmitted to the second communication device as part of the current iteration of the beamforming procedure.