Dynamic Interference Cancellation in Full-Duplex Communication Systems
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Solution Overview
Problem
Wireless communication systems face interference issues from self-interference and remote interference, which degrade service quality, especially in high-traffic areas, and existing methods are inadequate in effectively addressing these interferences.
Innovation Solution
The implementation of a method and apparatus that selectively applies analog and digital time domain cancellation in communication systems, using channel gain estimation to determine the need for either digital or combined analog and digital cancellation, depending on the interference level and ADC dynamic range, to effectively remove interference from both data and cyclic prefix parts in OFDM symbols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If analog time domain cancellation is applied, then interference cancellation effectiveness is improved, but device complexity and power consumption increase
Solution Approach 1:
The system dynamically selects between analog time domain cancellation, digital time domain cancellation, or frequency domain cancellation based on real-time channel conditions, interference levels, and system state. This dynamic adaptation allows the system to achieve effective interference cancellation only when necessary, reducing overall device complexity while maintaining reliability.
Solution Approach 2:
The system changes operational parameters by switching between different cancellation domains (analog/digital) and methods (time domain/frequency domain) based on measured channel characteristics and interference levels. This parameter adaptation enables the system to optimize the balance between cancellation effectiveness and computational complexity.
2Device complexity
If digital time domain cancellation is applied, then interference cancellation is achieved with lower complexity, but effectiveness may be insufficient for high interference levels
Solution Approach 1:
The system dynamically transitions between digital time domain cancellation and analog time domain cancellation based on measured interference levels. When interference exceeds a threshold, the system activates the more effective but complex analog cancellation path, ensuring reliability is maintained when needed while keeping complexity low during normal operation.
Solution Approach 2:
The system uses channel estimation and interference level detection as intermediary mechanisms to determine when to switch between cancellation methods. These intermediaries enable intelligent decision-making about which cancellation approach to apply, bridging the gap between simple digital methods and complex analog methods.
3Productivity
If frequency domain cancellation is applied, then processing efficiency is improved, but it fails to remove interference from cyclic prefix parts
Solution Approach 1:
The system segments the interference cancellation task into two parts: frequency domain cancellation handles the data portion efficiently, while time domain cancellation handles the cyclic prefix portion. This segmentation allows each method to operate in its optimal domain, achieving both processing efficiency and complete interference removal.
Solution Approach 2:
The system merges frequency domain cancellation and time domain cancellation into a hybrid approach. The frequency domain processor handles bulk data processing efficiently, while the time domain processor addresses the cyclic prefix interference that frequency domain methods miss. This combination achieves both high productivity and complete interference removal reliability.
4Reliability
If combined analog and digital cancellation is applied, then complete interference removal is achieved, but power consumption and computational load increase
Solution Approach 1:
The system dynamically activates analog and digital cancellation paths based on measured interference levels and channel conditions. During low interference periods, only simple digital processing is active, consuming minimal power. During high interference periods, the system activates the full combined analog and digital cancellation system to achieve complete interference removal, accepting the higher power consumption only when necessary.
Data Source
AI summary
A system that incorporates the subject disclosure may include, for example, determining an interference based on a channel gain for each signal of a group of signals received at a receiver from a group of transmitters. A determination is made of an interference value based on a group of interference signals received at a receiver from a group of transmitters, wherein the interference value is based on channel gains that are estimated for the group of transmitters, and wherein a portion of the interference is self-interference generated from transmitting and receiving at a same time. One of an analog time domain cancellation, a digital time domain cancellation or both, is performed responsive to a determination that the interference value does not satisfy a threshold range of an analog-to-digital converter of the receiver. Other embodiments are disclosed.