Base Station Visual Interference Detection for mmW Channel Access
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Solution Overview
Problem
In millimeter wave (mmW) wireless communication environments, base stations face challenges in performing clear channel assessment (CCA) or listen before talk (LBT) procedures due to narrow spatial beams, which can lead to inefficiencies and resource wastage, as they may be unaware of certain interference sources, impacting both communication efficiency and UE battery life.
Innovation Solution
The base station utilizes visual information from cameras or sensors to detect and track interfering UEs, allowing for selective performance of CCA/LBT in specific beam directions, optimizing shared channel access and interference management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If LBT is performed in every beam direction to minimize missing interference sources, then interference detection reliability is improved, but resource efficiency deteriorates due to constant overhead and battery consumption
Solution Approach 1:
The base station performs preliminary visual scanning using cameras or sensors to detect the presence of UEs in various beam directions before performing LBT. This preliminary action identifies which directions contain UEs that may cause interference, allowing the base station to perform LBT only in those specific directions rather than all directions, thus reducing energy consumption while maintaining interference detection reliability
Solution Approach 2:
Instead of performing LBT in all beam directions (excessive action), the base station performs LBT only in the subset of directions where UEs are visually detected (partial action). This partial action approach reduces the number of LBT operations from potentially dozens of beams to only a few directions with detected UEs, significantly reducing overhead and battery consumption while still capturing all relevant interference sources
2Productivity
If LBT is performed selectively based on UE reports to reduce resource wastage, then resource efficiency is improved, but interference detection reliability deteriorates due to incomplete interference information
Solution Approach 1:
The patent introduces visual information from cameras or sensors as an intermediary to bridge the gap between UE reports and actual interference sources. The visual scanning system acts as a mediator that provides accurate spatial information about UE locations, allowing the base station to make more reliable decisions about which directions require LBT, thus improving interference detection reliability while maintaining resource efficiency
Solution Approach 2:
The patent replaces reliance on UE-reported interference information (which may be incomplete or inaccurate) with direct visual detection using cameras or sensors. This substitution of the detection mechanism provides more accurate and complete interference source identification, improving reliability while allowing selective LBT to maintain resource efficiency
3Productivity
If narrow spatial beams are used in mmW environments to improve communication focus, then communication efficiency is improved, but interference detection capability deteriorates due to limited field of view
Solution Approach 1:
The patent merges two different detection approaches: narrow beamforming for communication and wide-field visual scanning for interference detection. The visual scanning system provides a broad field of view to detect all potential interference sources, while narrow beams are used only for actual communication. This combination allows the system to maintain both communication efficiency and comprehensive interference detection capability
Solution Approach 2:
The base station employs a multi-functional system where visual sensors serve the universal function of detecting all UEs in the environment regardless of beam direction, while communication beams remain specialized for focused data transmission. This multi-functionality allows the system to maintain narrow communication beams for efficiency while using the universal visual detection capability to identify all interference sources
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances communication efficiency by reducing unnecessary resource usage and minimizing interference detection errors, thereby improving channel access and battery life for user equipment (UEs) in mmW environments.
Implementation Method 1
a base station or other access point (e.g. APs, gNBs, road side units (RSUs), or remote radio heads (RRHs)) may be equipped with a camera, sensor, or other electronic device capable of detecting light, infrared energy, etc.
Data Source
AI summary
Aspects are provided that allow a base station to use visual information of interfering UEs for optimizing shared channel access and beam and interference management and tracking. The base station may obtain visual information of a UE. The base station may then access a shared channel to communicate with the UE based on the visual information. After accessing the shared channel, the base station may communicate with the UE over the shared channel using one or more beams based on the visual information. Efficient channel access and communication in mmW environments may thereby be achieved.