CSI-Based Interference Localization in Downlink Wireless Networks
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Solution Overview
Problem
Existing wireless communication networks face challenges in identifying and accounting for external interference sources, which are often undetected by conventional methods like drive testing, leading to inefficiencies and increased costs due to repeated testing and the dynamic nature of interference.
Innovation Solution
A system and method using channel state information (CSI) to identify external interference by triangulating the location of interference through CSI measurements from mobile devices, allowing for precise identification and avoidance of affected resources, thereby improving spectral efficiency without the need for extensive drive testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drive testing using a spectrum analyzer is performed to identify external interference sources, then measurement precision is improved, but loss of time and productivity deteriorate due to repeated testing activities
Solution Approach 1:
Mobile devices perform self-measurement of channel state information and automatically report to the base station, eliminating the need for external spectrum analyzers and manual drive testing. The system uses existing mobile device sensors and processing capabilities to detect and report interference conditions.
Solution Approach 2:
A continuous feedback loop is established where mobile devices continuously measure channel state information, report to the base station, and the base station updates resource allocation based on this feedback. This real-time monitoring replaces periodic manual drive testing.
2Reliability
If drive testing is conducted to detect external interference, then reliability of interference identification is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The base station performs multiple functions: it manages normal cellular communications, coordinates channel state information collection from mobile devices, analyzes interference patterns, and makes resource allocation decisions. This multi-functionality eliminates the need for separate specialized interference detection equipment.
Solution Approach 2:
The base station acts as an intermediary that collects channel state information from multiple mobile devices, processes this data to identify external interference sources, and coordinates the response. This centralizes the complexity in the base station rather than requiring complex equipment at each mobile device.
3Productivity
If conventional frequency use protection measures are implemented, then spectral efficiency is improved, but the system becomes vulnerable to external interference from non-regular devices
Solution Approach 1:
The system dynamically adjusts resource allocation based on real-time channel state information and detected interference conditions. Instead of static frequency protection measures, the base station continuously adapts resource assignment to current interference conditions, maintaining spectral efficiency while responding to external threats.
Solution Approach 2:
The system changes operational parameters (resource allocation, frequency assignment, power levels) based on measured channel state information and detected interference patterns. This allows the system to maintain optimal spectral efficiency while adapting to varying external interference conditions from non-regular devices.
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
The method effectively identifies and mitigates external interference by triangulating its location, enhancing network performance and spectral efficiency while minimizing user experience impact and reducing the need for costly drive testing.
Implementation Method 1
determining, by the channel state engine, a location of the external interference using triangulation data from the identified mobile device and the neighboring mobile devices
Data Source
AI summary
Methods and systems for identifying external interference in a wireless communications network from channel state information. A method can include receiving, by a channel state engine, network issue data indicating external interference on one or more wireless communications transmitting resources, identifying a mobile device impacted by the external interference from the network issue data, receiving, from the identified mobile device, a channel state information measurements report responsive to a request sent by the channel state engine, receiving, from neighboring mobile devices located proximate to the identified mobile device, channel state information measurements reports responsive to requests sent by the channel state engine, identifying one or more interfered wireless communications transmitting resources based on the channel state information measurements report and the channel state information measurements reports, and determining a location of the external interference using triangulation data from the identified mobile device and the neighboring mobile devices.