Dynamic Direction-of-Arrival Filtering for MU-MIMO Access Points
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Solution Overview
Problem
Current wireless communication networks face inefficiencies in handling excessive radio noise and uplink utilization using Multiple User Multiple Input Multiple Output (MU-MIMO) direction-of-arrival filtering.
Innovation Solution
The implementation of dynamic direction-of-arrival filtering in wireless access points, where digital filters are reconfigured to process energy from multiple directions-of-arrival in response to excessive radio noise or uplink utilization, allowing for effective and efficient signal recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the PHY uses a digital filter configured to pass energy from particular directions-of-arrival to block energy from other directions, then signal separation for MU-MIMO is improved, but the system cannot effectively handle excessive radio noise or uplink utilization
Solution Approach 1:
The patent implements dynamic direction-of-arrival filtering where the digital filter configuration is continuously adapted based on current channel conditions, radio noise levels, and uplink utilization. The system transitions from static filtering to dynamic filtering that responds to changing environmental conditions, allowing the access point to optimize signal separation accuracy while effectively handling excessive radio noise and uplink utilization by adjusting filter parameters in real-time
2Productivity
If the access point receives wireless signals from multiple user devices in the same resource block from different directions-of-arrival, then resource utilization is improved, but the complexity of separating and processing these signals increases
Solution Approach 1:
The patent applies segmentation by dividing the received signal space into distinct direction-of-arrival segments using digital filters. Each filter is configured to pass energy from specific directions while blocking other directions, effectively segmenting the mixed signals from multiple users in the same resource block. This segmentation approach simplifies the processing complexity by separating signals spatially before further processing
Solution Approach 2:
The system changes filtering parameters dynamically based on the number of active users, channel conditions, and interference levels. By adjusting filter coefficients, direction-of-arrival thresholds, and filter bandwidths according to current operational conditions, the system optimizes the balance between handling multiple simultaneous transmissions and maintaining manageable processing complexity
Data Source
AI summary
A wireless access point serves dynamic direction-of-arrival reception. An access point radio wirelessly receives a wireless signal that transports time-domain data. Access point circuitry determines uplink utilization for the access point radio. The circuitry transforms the time-domain data into frequency-domain data. The circuitry filters the frequency-domain data for one direction-of-arrival responsive to the uplink utilization. The circuitry synthesizes the time-domain data from the filtered frequency-domain data. The radio wirelessly receives another wireless signal that transports additional time-domain data. The circuitry determines a higher uplink utilization for the access point radio. The circuitry transforms the additional time-domain data into additional frequency-domain data. The circuitry filters the additional frequency-domain data for multiple directions-of-arrival responsive to the higher uplink utilization. The circuitry synthesizes the additional time-domain data from the filtered additional frequency-domain data.