MIMO Receiver AGC Reconfiguration for Accurate Priority Signal Detection
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Solution Overview
Problem
Existing MIMO receivers face inaccuracies in detecting higher-priority signals, leading to false positive detections and premature abandonment of channels, which reduces bandwidth availability due to the inability to effectively differentiate and manage shared wireless spectrum usage between higher and lower-priority devices.
Innovation Solution
The implementation of a dynamic Automatic Gain Controller (AGC) configuration in MIMO receivers, utilizing multiple antenna sets and AGC sets to concurrently monitor the wireless spectrum for high-priority and low-priority signals, allowing for accurate detection and re-association of antennas between listening and receiving states to improve sensitivity and reduce false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single AGC set is used to monitor both high-priority and low-priority signals, then device complexity is reduced, but measurement precision deteriorates due to inability to differentiate signal priorities
Solution Approach 1:
The patent divides the single AGC monitoring function into separate AGC sets: a first AGC set dedicated to monitoring high-priority signals and a second AGC set dedicated to monitoring low-priority signals. This segmentation allows each AGC set to be optimized for its specific signal type, improving measurement precision without significantly increasing overall system complexity through modular design.
Solution Approach 2:
Different AGC sets are configured with different parameters and characteristics tailored to their specific monitoring tasks. The first AGC set uses parameters optimized for high-priority signal detection while the second AGC set uses parameters optimized for low-priority signal detection, ensuring each monitoring function has the appropriate local quality for its purpose.
2Measurement precision
If multiple AGC sets are used to differentiate signal priorities, then measurement precision improves, but device complexity increases
Solution Approach 1:
The MIMO receiver system performs multiple functions using the same physical infrastructure: it simultaneously monitors both high-priority and low-priority signals, receives packet-based traffic, and manages channel abandonment decisions. The multiple AGC sets are integrated into a unified control system that coordinates their operations, allowing the system to achieve enhanced measurement precision while managing complexity through multi-functional integration.
Solution Approach 2:
The system implements feedback mechanisms where detection results from both AGC sets are continuously monitored and used to dynamically control channel abandonment decisions. When either AGC set detects its priority signal, the system responds by abandoning the channel, creating a feedback loop that resolves complexity through automated decision-making based on real-time signal conditions.
3Speed
If the system abandons channel on single signal detection, then response speed improves, but reliability deteriorates due to false positive detections
Solution Approach 1:
The system uses feedback from multiple independent detection sources (first AGC set for high-priority signals, second AGC set for low-priority signals) to verify channel abandonment conditions. By requiring confirmation from the appropriate AGC set based on signal priority, the system maintains fast response times while reducing false positives through cross-verification of detection events.
Solution Approach 2:
The detection and decision-making process is segmented into priority-specific pathways: high-priority signal detection triggers one abandonment response while low-priority signal detection triggers another. This segmentation allows each detection pathway to be optimized for its specific signal type, improving reliability by reducing cross-interference between different signal priorities while maintaining fast response times.
4Productivity
If all antennas are used for packet reception, then productivity improves, but measurement precision deteriorates due to lack of dedicated listening antennas
Solution Approach 1:
The system dynamically allocates antenna resources between packet reception and signal monitoring based on current operational needs. The MIMO receiver can switch between using all antennas for packet reception (maximizing productivity) and dedicating specific antennas to monitoring with their respective AGC sets (maximizing measurement precision), allowing flexible adaptation to different operational states.
Solution Approach 2:
The antenna system performs multiple functions: it can simultaneously or alternatively be used for packet-based traffic reception and for monitoring high-priority and low-priority signals. The same physical antennas are configured with different AGC sets to fulfill different roles, achieving multi-functionality that balances productivity and measurement precision based on system state.
Data Source
AI summary
Dynamic automatic gain controller configuration in multiple input and multiple output receivers is provided by monitoring a given section of wireless spectrum for higher-priority signals using a first antenna set associated with a first Automatic Gain Controller (AGC) set while concurrently monitoring the given section of wireless spectrum for wireless packet-based traffic using a second antenna set associated with a second AGC set; in response to detecting a packet via the second antenna set: re-associating the first antenna set and the second antenna set to a third AGC set; receiving the packet via the first antenna set and the second antenna set using the third AGC set; and in response to the packet being received, re-associating the first antenna set to the first AGC set and the second antenna set to the second AGC set.


