Network Interference Cancellation via Auxiliary Antenna Arrays
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Solution Overview
Problem
Interference from multiple sources significantly reduces the quality of service (QoS) and quality of experience (QoE) in Fifth Generation (5G) and Long Term Evolution (LTE) wireless communication networks, limiting network performance.
Innovation Solution
The implementation of a collaborative interference and noise detection and cancellation (CINDC) system, which uses auxiliary antenna arrays and intelligent adaptive interference detection and cancellation (IAIDC) units at base station units to detect and cancel interference in real-time, employing machine learning and AI models for effective signal processing and data fusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional wireless communication systems operate in interference-prone environments, then network coverage and connectivity are maintained, but quality of service and quality of experience significantly deteriorate due to interference from multiple sources
Solution Approach 1:
The patent employs interference cancellation techniques that convert harmful interference signals into useful information. By detecting and estimating interference characteristics, the system reconstructs interference signals and subtracts them from received signals, thereby transforming the harmful interference into a beneficial process that improves signal quality and enables reliable communication in previously unusable environments
Solution Approach 2:
The patent introduces auxiliary antenna arrays as intermediary elements that specifically receive interference signals without receiving the desired communication signals. These auxiliary antennas act as mediators that capture interference characteristics, which are then processed by interference detection and estimation modules to generate cancellation signals that are applied to the main reception path
2Measurement precision
If auxiliary antenna arrays and intelligent processing units are deployed at base stations, then interference detection and cancellation capability is improved, but device complexity and implementation cost increase
Solution Approach 1:
The patent segments the interference cancellation function into distinct modular components: auxiliary antenna arrays for interference reception, interference detection modules for identifying interference types, estimation modules for characterizing interference parameters, and cancellation modules for generating and applying cancellation signals. This segmentation allows each component to be optimized independently and simplifies the overall system design and implementation
Solution Approach 2:
The base station equips itself with autonomous interference cancellation capabilities through intelligent adaptive processing. The system automatically detects interference, estimates its characteristics, generates cancellation signals, and applies them without external intervention. This self-service approach enables the base station to adaptively respond to changing interference conditions in real-time
3Productivity
If real-time interference cancellation is implemented, then signal-to-noise ratio and network performance improve, but processing requirements and computational load increase
Solution Approach 1:
The patent implements interference cancellation selectively based on detected interference levels and types. Rather than continuously applying full interference cancellation processing, the system activates cancellation mechanisms only when interference exceeds threshold levels or when specific interference types are detected. This partial action approach reduces unnecessary computational load while maintaining effective interference mitigation when needed
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a method in which a processing system coupled to a communication network identifies, based on base station unit (BSU) performance measurements and network key performance indicator (KPI) measurements, a set of BSUs experiencing interference. The method further includes selecting BSUs from the identified set that are to be provided with an auxiliary antenna array; and computing, for each BSU in the identified set, parameters to be used by modules of the BSU that are local to the BSU and configured to perform interference detection, interference estimation, and/or interference cancellation; the computed parameters are used in a reconfiguration procedure for the modules of the BSU. Other embodiments are disclosed.


