Interferer Reduction in Cellular Receiver Channels

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Solution Overview

Problem

Strong interferers close to base stations in cellular networks cause significant interference, particularly when they operate on adjacent frequency channels, leading to reduced signal quality and unreliable handovers, as existing methods like space diversity are ineffective in such scenarios.

Innovation Solution

A method that models the interfering signal by measuring both linear and nonlinear components in adjacent frequency channels and subtracts the interfering signal from the wanted signal using existing receiver hardware, improving the Signal to Interferer Ratio (SIR) without requiring additional hardware, by employing software-based signal processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If space diversity is used to reduce interferer influence, then signal quality may improve, but the method becomes ineffective when the interferer is located very close to the base station

Engineering Contradiction:
Improvesignal qualityVSAvoideffectiveness in close-range interferer scenarios
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent replaces the physical/spatial diversity approach with a signal processing approach. Instead of relying on multiple antenna branches to capture different signal paths (mechanical/spatial method), the system uses software-based signal modeling and subtraction to eliminate the interferer, making it effective regardless of the interferer's physical location.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary signal model as a mediator between the received signal and the desired output. By creating a mathematical model of the interferer signal and using it to generate a cancellation signal, the system can remove the interferer's influence without requiring physical separation or spatial diversity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If additional hardware is added to reduce interferer influence, then signal quality improves, but device complexity increases

Engineering Contradiction:
Improvesignal qualityVSAvoidhardware complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent enables the existing receiver hardware to serve itself by using its own resources (antenna, amplifier, ADC) to capture both the wanted signal and the interferer signal, then using software processing to separate and eliminate the interferer. No additional hardware is required - the system uses its existing components more intelligently.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent substitutes physical hardware additions with software-based signal processing. Instead of adding more antenna elements or receivers to capture the interferer, the system uses computational methods to model and subtract the interferer signal from the received signal, reducing complexity while maintaining effectiveness.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS8693954B2Interferer reduction
Publication Date: 2014.04.08 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
  • US8693954B2 patent drawing
  • US8693954B2 patent drawing
  • US8693954B2 patent drawing

AI summary

The invention is directed to a method for reducing the influence of an interfering signal Si on a wanted signal Sw in a first frequency channel n received by a receiver 112a′ when the interfering signal Si occurs in a second frequency channel n+1 near to the first channel n. The method comprises the steps of: assuming a model Sτof a transmitter 120b′ causing the interfering signal Si; obtaining in the first channel n a measure of the wanted signal Sw and a measure of a nonlinear part of the interfering signal Si, and in the second channel n+1 a measure of a linear part of the interfering signal Si; solving the model for said transmitter 120b′ by using the measured linear and nonlinear part; and obtaining the interfering signal Si; influencing the first channel n by using the solved model, and subtracting the obtained interfering signal S1 from the wanted signal Sw received by the receiver 112a′.