Aggregated Interference Adjustment for LBT Wireless Devices
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Solution Overview
Problem
In wireless communication systems, existing technologies face challenges in managing aggregated interference from listen-before-talk (LBT) devices, which can lead to inefficient use of shared radio frequency spectrum and potential interference issues among devices with different priorities and interference limitations.
Innovation Solution
The proposed solution involves identifying LBT silencing criteria between wireless devices to divide them into independent sets, determining aggregated interference values for each set, and selectively adjusting communication parameters such as energy detection thresholds and transmit power to alter interference levels, thereby optimizing spectrum usage and reducing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless devices transmit on shared radio frequency spectrum without selective parameter adjustment, then spectrum utilization increases, but aggregated interference increases causing communication reliability to deteriorate
Solution Approach 1:
The system dynamically adjusts transmit power levels and energy detection thresholds based on aggregated interference measurements. Network access devices modify communication parameters such as power spectral density and detection sensitivity to maintain reliable communication while maximizing spectrum utilization across different interference conditions
Solution Approach 2:
Wireless devices measure aggregated interference from LBT transmissions and feed this information back to network access devices. The network access devices use this feedback to selectively adjust communication parameters, creating a closed-loop system that maintains reliability while enabling high spectrum utilization
2Measurement precision
If energy detection thresholds are increased to detect more LBT transmissions, then interference detection capability improves, but false detection increases reducing spectrum access efficiency
Solution Approach 1:
The system dynamically adjusts energy detection thresholds based on measured aggregated interference levels and statistical characteristics of LBT transmissions. By adapting the threshold to current conditions rather than using a fixed value, the system achieves high detection accuracy without excessive false positives, maintaining both measurement precision and spectrum access efficiency
Solution Approach 2:
Energy detection thresholds are made dynamic rather than static, changing based on observed interference patterns and traffic conditions. The system transitions from a fixed threshold approach to an adaptive threshold mechanism that responds to real-time spectral conditions, improving both detection accuracy and access efficiency
3Power
If transmit power is increased to improve communication quality, then signal strength improves, but aggregated interference increases causing other devices to be silenced
Solution Approach 1:
The system adjusts transmit power levels based on aggregated interference measurements and priority classifications. Network access devices modify power spectral density and transmit power dynamically, reducing power when interference is high and maintaining quality when conditions permit, thereby balancing signal strength with interference generation
Solution Approach 2:
Different transmit power levels are assigned to different wireless devices based on their priority status and local interference conditions. High-priority devices may transmit at higher powers while low-priority devices use lower powers, creating a differentiated power allocation strategy that optimizes overall system performance while managing interference
Data Source
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AI summary
One method includes identifying a listen-before-talk (LBT) silencing criterion between each pair of wireless devices in a plurality of wireless devices; dividing the plurality of wireless devices into a plurality of independent sets based at least in part on the identified LBT silencing criterions; determining, for a location, an aggregated interference value for each independent set; determining an aggregated interference value for the location based at least in part on the determined aggregated interference values for each independent set; and selectively adjusting a wireless communication parameter of at least one of the wireless devices to alter the aggregated interference value for the location.