Geometrical Closed Loop MIMO SVD Phase Compensation

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Solution Overview

Problem

Existing wireless communication systems with multiple antennae face significant performance degradation when the optimal antenna spacing is not achieved, leading to reduced data throughput, especially when deviations exceed 25%, as current technologies lack effective solutions to maintain or enhance data throughput in such scenarios.

Innovation Solution

The implementation of a Geometrical Closed Loop MIMO architecture, which uses Singular Value Decomposition (SVD) to decompose the communication channel into independent streams at the transmitter, allowing for optimal signal processing and beamforming, even when exact antenna spacing is not possible, thereby compensating for phase noise and improving data carrying capacity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If optimal antenna spacing is achieved, then data throughput is maximized, but installation flexibility and adaptability are reduced

Engineering Contradiction:

Improvedata throughputVSAvoidinstallation flexibility

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent transforms the fixed optimal spacing requirement into an adjustable parameter system. By introducing phase shifters and signal processing mechanisms, the system can dynamically adjust phase relationships between antennas to compensate for non-optimal physical spacing, thereby maintaining high throughput across various installation configurations

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The invention converts a static antenna spacing requirement into a dynamic system where phase relationships can be adjusted in real-time. Through closed-loop feedback and adaptive signal processing, the system continuously optimizes performance regardless of physical antenna separation, enabling both high throughput and installation flexibility

Inventive Principle:

Principle #15Dynamics

2Adaptability or versatility

If antenna spacing deviates from optimal (greater than 25% deviation), then installation flexibility is improved, but data throughput degrades significantly

Engineering Contradiction:

Improveinstallation flexibilityVSAvoiddata throughput

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent implements closed-loop feedback mechanisms where the system continuously monitors channel conditions and adjusts phase relationships accordingly. This feedback-driven adaptation allows the system to maintain optimal performance even when antenna spacing deviates significantly from theoretical optima, directly counteracting throughput degradation

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary channel characterization and phase calibration during installation or initial operation. By pre-compensating for spacing deviations through configured phase shifts and signal processing parameters, the system proactively maintains throughput performance before degradation can occur

Inventive Principle:

Principle #10Preliminary action

3Reliability

If phase noise is present in the system, then signal quality deteriorates, but the Geometrical Closed Loop MIMO architecture can compensate for it

Engineering Contradiction:

Improvesignal qualityVSAvoidphase noise

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent converts the harmful effect of phase noise into useful information. By using phase noise measurements from pilot signals, the system calculates and applies compensating phase adjustments, thereby transforming a degradation source into a calibration opportunity that actually improves signal quality

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Solution Approach 2:

The invention introduces pilot signals as an intermediary element. These known reference signals serve as mediators that allow the system to measure and characterize phase noise effects, which are then used to compute compensation parameters for the actual data signals, effectively isolating and neutralizing the harmful phase noise

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS9077407B2Geometrical closed loop line of sight (LOS) multiple-input-multiple-output (MIMO)

Publication Date: 2015.07.07 MAXLINEAR ASIA SINGAPORE PTE LTD

AI summary

Geometrical closed loop line of sight (LOS) multiple-input-multiple-output (MIMO). Singular value decomposition (SVD) processing for a LOS communication channel into respective channel matrices, and appropriate processing of signals within transmitter and/or receiver communication devices operate to support very high data throughput, including approaching or converging to the Shannon limit channel capacity (e.g., bits/sec/Hz). Certain communication systems operate with multi-antenna communication devices, and sometimes, the optimal spacing between those respective antennae cannot be achieved. Appropriate processing can recover most, if not all, of any performance degradation as may be incurred by a deviation from the perfectly optimal spacing between those respective antennae. In addition, any deleterious effects of phase noise among the antennae may be mitigated by driving the antennae using a common or singular local oscillator, or tracking the communication channel (e.g., channel estimation, tracking, etc.) and updating the respective SVD channel matrices based upon such phase noise.