Quadrature Layered Modulation Scaling Correction Factor

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current communication technologies face limitations in increasing data symbol rates beyond the Nyquist rate without significant loss in signal strength, particularly in achieving high data rates in wireless and satellite communications, where faster-than-Nyquist (FTN) methods have shown rapid loss above 25% increase.

Innovation Solution

The introduction of quadrature layered modulation (QLM) with a scaling correction factor £, which scales signal strength to maintain error rate performance, allowing for increased data symbol rates by layering communications over the same link, and using discriminating parameters for separation and decoding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data symbol rate is increased beyond Nyquist rate using conventional FTN methods, then productivity is improved, but reliability deteriorates due to rapid loss in signal strength above 25% increase

Engineering Contradiction:
Improvedata symbol rateVSAvoidsignal strength
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent segments the modulation scheme into quadrature layers (in-phase and quadrature components) that can be independently processed and scaled. This segmentation allows the system to apply different scaling factors to each layer, enabling faster-than-Nyquist rates while maintaining signal integrity through layer-specific optimization rather than uniform scaling.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a scaling parameter that adjusts the amplitude of the modulated signal in the quadrature layers. By optimizing this scaling parameter, the system can transmit at faster-than-Nyquist rates while compensating for intersymbol interference and maintaining acceptable error rates, thus resolving the contradiction between increased data rate and signal strength degradation.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If data symbol rate is increased to achieve high data rates, then productivity is improved, but loss of energy increases due to rapid signal degradation

Engineering Contradiction:
Improvedata rateVSAvoidsignal degradation
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The patent transitions from conventional single-dimensional modulation to two-dimensional quadrature layered modulation. By utilizing both in-phase and quadrature dimensions with independent scaling, the system achieves higher spectral efficiency and data rates while distributing energy more efficiently across dimensions, reducing overall signal degradation.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent creates a composite modulation structure combining multiple quadrature layers with different scaling factors. This composite approach allows the system to optimize each layer's energy efficiency while achieving aggregate high data rates, effectively managing energy loss through structured composition rather than uniform treatment.

Inventive Principle:
Principle #40Composite materials

Data Source

PatentUS9197364B1Scaling for QLM communications faster than shannon rate
Publication Date: 2015.11.24 VON DER EMBSE URBAIN A
  • US9197364B1 patent drawing
  • US9197364B1 patent drawing
  • US9197364B1 patent drawing

AI summary

This invention introduces a scaling correction £ to the Quadrature Layered Modulation (QLM) scaling np of the communications metrics Eb/No and SNR. QLM layers np communications links over the same frequency and/or path assignment and scales the metrics to the QLM values £npEb/No and £np2SNR in order to maintain the same bit error rate (BER) for all np. For np=1 there is no scaling correction £=1. For np>2 the np scaling must be supplemented by a scaling correction £. Identifying £ as a separate parameter whose behavior can be characterized enables one to improve the design and implementation of QLM communications. This introduction of £ enables the bound on QLM data rate performance to become a nearly achievable limit on performance in that one can come arbitrarily close to this bound but can never achieve this bound with each of the np QLM layers obeying the Shannon bound.