Interference Cancellation via Location-Based Interface Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern mobile communication systems face interference issues due to various sources, affecting data quality and speed, and existing solutions have not effectively addressed these challenges, leading to increased costs and reduced performance.
Innovation Solution
A computing system with an interference cancellation mechanism that determines an interfering interface based on device location and communicates it to an interference-aware receiver to process interference signals, allowing for effective interference cancellation and improved data recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional communication systems are used, then device complexity is reduced, but data quality and speed are degraded due to interference
Solution Approach 1:
The system performs preliminary actions by determining interfering interfaces and communicating this information to receivers before the interference significantly impacts data transmission. The base station proactively identifies interference sources and interfaces, allowing the receiver to prepare interference cancellation mechanisms in advance, thereby improving data quality without requiring complex real-time processing.
Solution Approach 2:
The system implements feedback mechanisms where the base station determines interfering interfaces and communicates this information back to the receiver. This feedback loop allows the receiver to adjust its interference cancellation algorithms based on actual interference conditions, improving data quality while keeping the receiver design relatively simple through information sharing rather than complex autonomous processing.
2Reliability
If interference cancellation processing is implemented, then data quality is improved, but processing time and computational resources increase
Solution Approach 1:
The base station performs preliminary determination of interfering interfaces and communicates this information to the receiver before significant processing time is needed. This allows the receiver to perform interference cancellation more efficiently with pre-provided interference characteristics, reducing the computational time and resources required during actual data transmission.
Solution Approach 2:
The base station acts as an intermediary that determines interfering interfaces and communicates this information to the receiver. This intermediary role allows the receiver to focus on simpler interference cancellation processing rather than performing complex interference analysis itself, thereby improving data quality while reducing the receiver's processing time and computational burden.
3Adaptability or versatility
If multiple communication formats are supported, then adaptability is improved, but computational complexity increases
Solution Approach 1:
The system segments the communication process into distinct phases: the base station handles interface determination and interference identification, while the receiver handles data processing using the provided interference information. This segmentation allows the system to support multiple communication formats with different levels of computational complexity at different stages, improving adaptability without uniformly increasing device complexity.
Data Source
AI summary
A computing system includes: a communication unit configured to determine an interfering interface based on a device location for locating an interference-aware receiver for processing a receiver signal including an interference signal described by the interfering interface; and an inter-device interface, coupled with the communication unit, configured to communicate the interfering interface for communicating the interfering interface to the interference-aware receiver for processing the interference signal or a further instance thereof.