Bi-directional Beamforming MIMO Weight Vector Computation
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Solution Overview
Problem
Conventional MIMO wireless communication systems are unidirectional, failing to leverage channel knowledge for bidirectional beamforming, which limits the system's ability to enhance radio link reliability and capacity by not utilizing knowledge gained from both directions between communication devices.
Innovation Solution
Configuring wireless communication devices to compute and apply beamforming weight vectors for both downlink and uplink signal streams, enabling simultaneous bi-directional beamformed MIMO communication by sharing antennas and using channel sounding techniques like covariance matrix computation and eigenvector methods for weight vector calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional unidirectional beamforming is used, then the system structure is simpler, but the radio link reliability and system capacity are limited due to lack of bidirectional channel knowledge
Solution Approach 1:
The patent merges the beamforming operations of both directions into a unified system where the same channel sounding and weight vector computation processes are applied bidirectionally. The base station and mobile station share antenna resources and processing functions, combining what were previously separate unidirectional systems into an integrated bidirectional beamforming system that enhances reliability through mutual channel knowledge exploitation.
Solution Approach 2:
The patent implements universality by enabling the beamforming system to perform multiple functions: channel sounding in both directions, computation of weight vectors for both uplink and downlink, and simultaneous execution of beamforming operations. This multi-functional approach allows the system to achieve bidirectional communication capabilities without proportionally increasing complexity, as the same infrastructure serves dual purposes.
2Productivity
If bidirectional beamforming is implemented, then the system capacity increases through multiple signal stream transmission, but the computational complexity and processing requirements increase
Solution Approach 1:
The patent segments the beamforming process into distinct functional modules: channel sounding, weight vector computation, and signal stream transmission. Each module operates independently and can be processed separately, allowing the system to handle multiple signal streams without overwhelming computational complexity. The segmentation enables efficient resource allocation and processing across both directions of communication.
Solution Approach 2:
The patent applies preliminary action by performing channel sounding and weight vector computation before actual data transmission begins. The system first establishes the channel characteristics and pre-computes the necessary beamforming weights, allowing the subsequent signal stream transmission to proceed efficiently without real-time computational overhead. This preliminary processing enables the system to achieve high capacity while managing complexity through advance preparation.
3Productivity
If multiple signal streams are transmitted simultaneously, then the system capacity increases, but the requirement for precise beamforming weight vectors increases
Solution Approach 1:
The patent implements feedback mechanisms where the receiving device sends feedback signals containing channel state information back to the transmitting device. This feedback loop enables continuous refinement of beamforming weight vectors based on actual channel conditions, ensuring high precision even when multiple signal streams are transmitted simultaneously. The feedback process allows the system to adapt to channel variations and maintain optimal beamforming performance.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting beamforming weight vectors based on varying channel conditions. The system monitors channel characteristics and modifies the weight vector parameters in real-time to optimize signal transmission for multiple streams. This dynamic parameter adjustment enables the system to maintain high capacity while achieving the necessary precision through adaptive rather than fixed beamforming parameters.
Data Source
AI summary
Techniques are provided herein to configure first and second wireless communication devices in order to perform bi-directional beamformed multiple-input multiple-output (MIMO) communication. Each device uses received signals from the other device to compute beamforming weight vectors for application to a plurality of signal streams to be simultaneously beamformed transmitted to the other device.