Dynamic time metered delivery

• US 7,236,451 B2
• Filed: 03/03/2003
• Issued: 06/26/2007
• Est. Priority Date: 03/01/2002
• Status: Active Grant

• Current Assignee: Telepulse Technologies Corporation
• Original Assignee: Telepulse Technologies Corporation
• Inventors: Abend, Kenneth, Harris, Bernard, Darlington, Wade, Barnhart, Rodney, De Francesco, Richard, Starrantino, Jack, Susskind, Irving, Umyn, Borys
• Primary Examiner(s): Patel; Ajit
• Application Number:
  US10/378,505
• Publication Number:
  US 20040076222A1
• Time in Patent Office: 1,576 Days
• Field of Search: 370/203, 370/208, 370/204, 370/205, 370/201, 370/286, 370/289, 370/265, 370/463, 375/141, 375/142, 375/222, 375/254, 375/285
• US Class Current: 370/208
• CPC Class Codes: H04L 47/10 Flow control; Congestion control
• CPC Class Codes: H04L 47/20 Traffic policing
• CPC Class Codes: H04L 47/263 Rate modification at the source after receiving feedback
• CPC Class Codes: H04W 28/02 Traffic management, e.g. flow control or congestion control
• CPC Class Codes: H04W 8/04 Registration at HLR or HSS [Home Subscriber Server]
• CPC Class Codes: Y02D 30/50 in wire-line communication networks, e.g. low power modes or reduced link rate

Abstract

Dynamic Time Metered Delivery (DTMD) is a unique physical layer communication Method. DTMD uses enhanced time-based techniques to enable and control the flow of more data/Hertz through a variety of transmission media including existing and new copper phone lines, coaxial cable, fiber optic, powerline and wireless RF, Optical and Acoustic, to and from a comprehensive, multi-function customer data gateway. The system measures the transmission parameters as viewed from the “end of the line” and then sends these numerics back to the source which alters the shape of the basic signal structure such that when received at the far end, it will have maximum recognition attributes against interferers and noise. The present system and method add the adaptivity to the line conditions and set a maximum allowable data rate within the subscribed levels of performance.

Claims

1. A method of generating a broadband carrier-less analog signal from a digital data stream for transmission over a channel, comprising the steps of:

encoding the digital stream of data to provided an enhanced data signal without using carriers;

pseudo-randomizing said enhanced data signal to provide a randomized data signal;

framing said randomized data signal into a numerical matrix having a plurality of cells;

orthogonalizing each cell value in said matrix to provide orthogonalized vectors, wherein one or more of said orthogonalized vectors are sync vectors and the remaining orthogonalized vectors are data vectors;

summing said orthogonalized vectors on a per cell basis to generate spectrally shaped waveforms from said summed values; and

converting said summed values into said broadband carrier-less analog signal.

2. The method of claim 1, further comprising the step of transmitting said broadband carrier-less analog signal over said channel.

3. The method of claim 1, wherein the step of orthgonalizing comprises the step of bi-polarizing said orthogonalized vectors.

4. The method of claim 1, wherein the step of pseudo-randomizing includes the step of pseudo-randomizing said enhanced signal with a predetermined pseudo-random code to lower the potential DC content and whiten the data spectrum of said enhanced signal, thereby minimizing periodic frequency tonals.

5. The method of claim 1, wherein the step of summing comprises the step of subtracting amplitude weight replicas of prior frames from said spectrally shaped waveform to improve inter symbol interference.

6. The method of claim 1, further comprising the step of filtering the spectrum of said spectrally shaped waveforms to minimize low and high frequency energy.

7. The method of claim 1, wherein the step of converting includes the step of converting said summed values into said broadband carrier-less analog signal that is faster than the channel nominal bandwidth.

8. The method of claim 1, wherein said sync vectors are orthogonal vectors and said data vectors are quasi-orthogonal vectors.

9. The method of claim 1, further comprising the steps of determining a compaction ratio based on transmission characteristics of said channel and establishing a maximum input data rate for said channel as a function of said compaction ratio.

10. The method of claim 9, further comprising the step of determining a vector length for said matrix based on transmission characteristics of said channel and establishing said maximum input data rate for said channel as a function of said compaction ration and said vector length.

11. The method of claim 10 further comprising the step of determining an output data rate as a function of an input data rate, said compaction ratio and said vector length.

12. A method of decoding a broadband carrier-less analog M-ary signal having orthogonalized data and sync vectors, comprising the steps of:

sampling said broadband carrier-less analog M-ary signal to capture encoded number set;

filtering said encoded number set to compensate for media effects during transmission of said broadband carrier-less analog M-ary signal;

correlating said filtered number set against a vocabulary of orthogonalized vectors to detect sync word and encoded word;

forward error correcting said encoded word to provide FEC corrected data; and

de-randomizing said FEC corrected data to recover encoded data, wherein the step of sampling includes the step of oversampling said broadband carrier-less analog M-ary signal to provide an oversampled encoded number set, wherein the step of correlating comprises the steps of asynchronously correlating said oversampled encoded number set to vernier locate a time slip and synchronously correlating said oversampled encoded number set to determine said encoded word based on said time slip.

13. The method of claim 12, wherein the step of sampling includes the step of signal egress sniffing to reduce near end cross-talk (NEXT) from said broad-band carrier-less analog M-ary signal.

14. The method of claim 12, wherein the step of filtering includes the step of adaptively filtering using a digital filter.

15. The method of claim 12, further comprising the step of receiving said broadband carrier-less analog M-ary signal over a channel.

16. The method of claim 12, wherein the step of correlating includes the steps of asynchronously correlating said encoded number set to detect sync word and synchronously correlating said encoded number set to detect encoded word.

17. A method of transmitting and receiving broadband carrier-less analog M-ary signals over a channel, comprising the steps of:

encoding a digital stream of data to provided an enhanced data signal without using carriers;

pseudo-randomizing said enhanced data signal to provide a randomized data signal;

framing said randomized data signal into a numerical matrix having a plurality of cells;

orthogonalizing each cell value in said matrix to provide orthogonalized vectors, wherein one or more of said orthogonalized vectors are sync vectors and the remaining orthogonalized vectors are data vectors;

summing said orthogonalized vectors on a per cell basis to generate spectrally shaped waveforms from said summed values;

converting said summed values to encode the digital data stream into a first broadband carrier-less analog M-ary signal for transmission over said channel;

transmitting said first broadband carrier-less analog M-ary signal over said channel based on predetermined blanking intervals;

receiving a second broadband carrier-less analog M-ary signal over said channel based on complementary predetermined blanking intervals;

sampling said second broadband carrier-less analog M-ary signal to detect said data vectors and said sync vectors;

correlating said sync vectors and data vectors into data bits using a vocabulary of orthogonal and quasi-orthogonal vectors; and

forward error correcting said data bits to provide FEC corrected data;

de-randomizing said FEC corrected data to recover into a data stream bits to recover the output data.

18. The method of claim 17, further comprising the step of pseudo-randomly varying blanking intervals and complementary blanking intervals based on a selected level of service.

19. The method of claim 17, further comprising the step of determining the transmission characteristics of said channel to determine a maximum level of service.

20. The method of claim 17, further comprising the steps of determining a compaction ratio based on transmission characteristics of said channel and establishing a maximum input data rate for said channel as a function of said compaction ratio.

21. The method of claim 20, further comprising the steps of determining a vector length for said matrix based on transmission characteristics of said channel and establishing said maximum input data rate for said channel as a function of said compaction ratio and said vector length.

22. The method of claim 21 further comprising the step of determining an output data rate based on an input data rate, said compaction ratio and said vector length.

23. The method of claim 21, further comprising the step of adaptively varying said compaction ratio and said vector length and an output data clock rate as function of dynamically varying transmission characteristics.

24. The method of claim 23, wherein the step of adaptively varying includes the step of determining said dynamically varying transmission characteristics as function of uncorrectable error values and sync correlator values.

25. The method of claim 17, further comprising the step of transmitting a ping signal to determine initial transmission characteristics of said channel.

26. The method of claim 17, further comprising the step of transmitting a bi-polar doublet function signal to determine initial transmission characteristics of said channel.

27. The method of claim 17, wherein said channel is bandwidth limited channel, and wherein the step of filtering includes the step of sinc sidelobe filtering to optimize the energy of said broadband carrier-less analog M-ary signal to the bandwidth of said channel.

28. The method of claim 17, wherein the step of converting converts said summed values to encode the digital data stream into said first broadband carrier-less analog M-ary signal having a crankshaft like profile.

29. The method of claim 17, further comprising the step of conveying internal system related data using said orthogonal sync vector.

30. A system for generating a broadband carrier-less analog signal from a digital data stream for transmission over a channel, comprising:

means encoding the digital stream of data to provided an enhanced data signal without using carriers;

means for pseudo-randomizing said enhanced data signal to provide a randomized data signal;

means for framing said randomized data signal into a numerical matrix having a plurality of cells;

means orthogonalizing each cell value in said matrix to provide orthogonalized vectors, wherein one or more of said orthogonalized vectors are sync vectors and the remaining orthogonalized vectors are data vectors;

means for summing said orthogonalized vectors on a per cell basis to generate spectrally shaped waveforms from said summed values; and

means for converting said summed values into said broadband carrier-less analog signal.

31. A system for decoding a broadband carrier-less analog M-ary signal having orthogonalized data and sync vectors, comprising:

means for sampling said broadband carrier-less analog M-ary signal to capture encoded number set;

means for filtering said encoded number set to compensate for media effects during transmission of said broadband carrier-less analog M-ary signal;

means for correlating said filtered number set against a vocabulary of orthogonalized vectors to detect sync word and encoded word;

means for forward error correcting said encoded word to provide FEC corrected data; and

means for de-randomizing said FEC corrected data to recover encoded data, wherein means for sampling includes means for oversampling said broadband carrier-less analog M-ary signal to provide an oversampled encoded number set, and wherein means for correlating comprises means for asynchronously correlating said oversampled encoded number set to vernier locate a time slip and synchronously correlating said oversampled encoded number set to determine said encoded word based on said time slip.

32. A system for transmitting and receiving broadband carrier-less analog M-ary signals over a channel, comprising the steps of:

means for encoding a digital stream of data to provided an enhanced data signal without using carriers;

means for pseudo-randomizing said enhanced data signal to provide a randomized data signal;

means for framing said randomized data signal into a numerical matrix having a plurality of cells;

means for orthogonalizing each cell value in said matrix to provide orthogonalized vectors, wherein one or more of said orthogonalized vectors are sync vectors and the remaining orthogonalized vectors are data vectors;

means for summing said orthogonalized vectors on a per cell basis to generate spectrally shaped waveforms from said summed values;

means for converting said summed values to encode the digital data stream into a first broadband carrier-less analog M-ary signal for transmission over said channel;

means for transmitting said first broadband carrier-less analog M-ary signal over said channel based on predetermined blanking intervals;

means for receiving a second broadband carrier-less analog M-ary signal over said channel based on complementary predetermined blanking intervals;

means for sampling said second broadband carrier-less analog M-ary signal to detect said data vectors and said sync vectors;

means for correlating said sync vectors and data vectors into data bits using a vocabulary of orthogonal and quasi-orthogonal vectors; and

means for forward error correcting said data bits to provide FEC corrected data; and

means for de-randomizing said FEC corrected data to recover into a data stream bits to recover the output data.