Multiple layer overlay modulation

• US 8,503,546 B1
• Filed: 01/31/2008
• Issued: 08/06/2013
• Est. Priority Date: 01/31/2008
• Status: Active Grant

• Current Assignee: Nxgen Partners Ip, LLC (NxGen Partners LLC)
• Original Assignee: Quantum Xtel, Inc.
• Inventors: Ashrafi, Solyman
• Primary Examiner(s): Fotakis, Aristocratis
• Application Number:
  US12/023,965
• Time in Patent Office: 2,014 Days
• Field of Search: 375/261, 375/260, 375/298, 370/206, 370/203, 370/447, 370/478, 370/330, 370/208, 370/477, 370/205
• US Class Current: 375/260
• CPC Class Codes: H04L 25/0384 Design of pulse shapes pulse shape for impulse radio H04B1/7172
• CPC Class Codes: H04L 27/362 Modulation using more than one carrier, e.g. with quadrature carriers, separately amplitude modulated H04L27/366 takes precedence
• CPC Class Codes: H04L 27/3818 using coherent demodulation, i.e. using one or more nominally phase synchronous carriers H04L27/227 and H04L27/389 take precedence

Abstract

The present invention provides for a communication system and method that overlays signals which are simultaneously mutually orthogonal in both the time and frequency domains, thereby enhancing spectral efficiency. Whereas commonly used sinusoids provide only two mutually orthogonal functions (sine and cosine), certain polynomials provide multiple orthogonal functions, which are also finite in both time and frequency. Using multiple orders of the orthogonal functions allows overlaying signals within a symbol to generate a modulated signal carrying more information than with traditional QAM. Correlating a received signal with locally generated replicas of the orthogonal functions allows demodulation of the signal. This modulation is applicable to twisted pair, cable, fiber, satellite, broadcast and all types of wireless access. The method and system are compatible with many current and future multiple access systems, including EV-DO, UMB, WiMax, WCDMA (with or without MBMS/MIMO), HSPA Evolution, and LTE.

Claims

1. A communication method comprising:

receiving an input data stream;

demultiplexing the input data stream into a plurality of separated data streams;

wherein first parallel data streams of said plurality of separated data streams comprises a first in-phase (I) stream and a first quadrature-phase (Q) stream;

modulating the first parallel data streams with a function selected from a plurality of at least three mutually orthogonal functions at a first signal width to generate a plurality of first data sub-layers;

wherein second parallel data streams of said plurality of separated data streams comprises a second in-phase (I) stream and a second quadrature-phase (Q) stream;

modulating the second parallel data streams with the function selected from said plurality of at least three mutually orthogonal functions at a second signal width to generate a plurality of second data sub-layers;

wherein the second signal width is different from the first signal width;

calculating a suitable spectral power density for said first data layer and said second data layer, said suitable spectral power density selected to minimize interference between a first data layer and a second data layer; and

generating a composite data stream by overlaying said first data layer with said second data layer at a preconfigured overlay offset,

wherein the first data layer comprises of said plurality of first data sub-layers and a plurality of third data sub-layers and the second data layer comprises of said plurality of second data sub-layers.

2. The method of claim 1 wherein the plurality of at least three mutually orthogonal functions comprises a plurality of time-limited and band-limited functions.

3. The method of claim 1 wherein the plurality of at least three mutually orthogonal functions comprises a plurality of modified Hermite polynomials.

4. The method of claim 1 wherein the plurality of at least three mutually orthogonal functions comprises a plurality of functions selected from the list consisting of:

Jacobi polynomials, Gegenbauer polynomials, Legendre polynomials, Chebyshev polynomials, Laguerre polynomials, and Q-functions.

5. The method of claim 1 further comprising:

mapping each of the separated data streams to a set of quadrature amplitude modulation (QAM) symbols to generate the first parallel data streams and the second parallel data streams.

6. The method of claim 5 wherein modulating each of the first parallel data streams with a function comprising:

weighting the function based on a mapped symbol.