Non-orthogonal frequency-division multiplexing

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Subcarriers system of N-OFDM signals after FFT

Non-orthogonal frequency-division multiplexing (N-OFDM) is a method of encoding digital data on multiple carrier frequencies with non-orthogonal intervals between frequency of sub-carriers. [1][2][3]

Subcarriers system[edit]

The low-pass equivalent N-OFDM signal is expressed as:[2][3]

where are the data symbols, is the number of sub-carriers, and is the N-OFDM symbol time. The sub-carrier spacing for  makes them non-orthogonal over each symbol period.

Idealized system model[edit]

This section describes a simple idealized N-OFDM system model suitable for a time-invariant AWGN channel.

Transmitter N-OFDM signals[edit]

N-OFDM transmitter ideal.jpg

An N-OFDM carrier signal is the sum of a number of not-orthogonal subcarriers, with baseband data on each subcarrier being independently modulated commonly using some type of quadrature amplitude modulation (QAM) or phase-shift keying (PSK). This composite baseband signal is typically used to modulate a main RF carrier.

is a serial stream of binary digits. By inverse multiplexing, these are first demultiplexed into parallel streams, and each one mapped to a (possibly complex) symbol stream using some modulation constellation (QAM, PSK, etc.). Note that the constellations may be different, so some streams may carry a higher bit-rate than others.

A Digital Signal Processor (DSP) is computed on each set of symbols, giving a set of complex time-domain samples. These samples are then quadrature-mixed to passband in the standard way. The real and imaginary components are first converted to the analogue domain using digital-to-analogue converters (DACs); the analogue signals are then used to modulate cosine and sine waves at the carrier frequency, , respectively. These signals are then summed to give the transmission signal, .

Demodulation[edit]

Receiver[edit]

N-OFDM receiver ideal.jpg

The receiver picks up the signal , which is then quadrature-mixed down to baseband using cosine and sine waves at the carrier frequency. This also creates signals centered on , so low-pass filters are used to reject these. The baseband signals are then sampled and digitised using analog-to-digital converters (ADCs), and a forward FFT is used to convert back to the frequency domain.

This returns parallel streams, which use in appropriate symbol detector.

Demodulation after FFT[edit]

The 1st method of optimal processing for N-OFDM signals after FFT was proposed in 1992.[1]

N-OFDM+MIMO[edit]

The combination N-OFDM and MIMO technology is similar to OFDM.

Fast-OFDM[edit]

Fast-OFDM[4][5][6] method was proposed in 2002.[7]

FBMC[edit]

FBMC is Filter-Bank Multi-Carrier Modulation[8][9][10]. As example of FBMC can consider Wavelet N-OFDM.

Wavelet N-OFDM[edit]

N-OFDM has become a technique for power line communications (PLC). In this area of research, a wavelet transform is introduced to replace the DFT as the method of creating non-orthogonal frequencies. This is due to the advantages wavelets offer, which are particularly useful on noisy power lines.[11]

To create the sender signal the wavelet N-OFDM uses a synthesis bank consisting of a -band transmultiplexer followed by the transform function

On the receiver side, an analysis bank is used to demodulate the signal again. This bank contains an inverse transform

followed by another -band transmultiplexer.\ The relationship between both transform functions is

Spectrally efficient FDM (SEFDM)[edit]

N-OFDM is a spectrally efficient method.[12][13] All SEFDM methods are similar to N-OFDM.[12][14][15][16][17][18][19]

GFDM[edit]

GFDM is generalized frequency division multiplexing.

See also[edit]

References[edit]

  1. ^ a b RU2054684 (C1) G01R 23/16. Amplitude-frequency response measurement technique// Slyusar V. – Appl. Number SU 19925055759, Priority Data: 19920722. – Official Publication Data: 1996-02-20 [1]
  2. ^ a b Slyusar, V. I. Smolyar, V. G. The method of nonorthogonal frequency-discrete modulation of signals for narrow-band communication channels// Radio electronics and communications systems c/c of Izvestiia- vysshie uchebnye zavedeniia radioelektronika. – 2004, volume 47; part 4, pages 40–44. – Allerton press Inc. (USA)[2]
  3. ^ a b Slyusar, V. I. Smolyar, V. G. Multifrequency operation of communication channels based on super-Rayleigh resolution of signals// Radio electronics and communications systems c/c of Izvestiia- vysshie uchebnye zavedeniia radioelektronika.. – 2003, volume 46; part 7, pages 22–27. – Allerton press Inc. (USA)[3]
  4. ^ Dimitrios Karampatsis, M.R.D. Rodrigues and Izzat Darwazeh. Implications of linear phase dispersion on OFDM and Fast-OFDM systems.// London Communications Symposium 2002. - http://www.ee.ucl.ac.uk/lcs/previous/LCS2002/LCS112.pdf.
  5. ^ D. Karampatsis and I. Darwazeh. Performance Comparison of OFDM and FOFDM Communication Systems in Typical GSM Multipath Environments. // London Communications Symposium 2003 (LCS2003), London, UK, Pp. 360 – 372. - http://www.ee.ucl.ac.uk/lcs/previous/LCS2003/94.pdf.
  6. ^ K. Li and I. Darwazeh. System performance comparison of Fast-OFDM system and overlapping Multi-carrier DS-CDMA scheme.// London Communications Symposium 2006. - http://www.ee.ucl.ac.uk/lcs/previous/LCS2006/54.pdf.
  7. ^ M.R.D. Rodrigues, Izzat Darwazeh. Fast OFDM: A Proposal for Doubling the Data Rate of OFDM Schemes.// International Conference on Communications, ICT 2002, Beijing, China, June 2002. - Pp. 484 – 487
  8. ^ Bellanger M.G. FBMC physical layer: a primer / M.G. Bellanger et al. - January 2010.
  9. ^ Farhang-Boroujeny B. OFDM Versus Filter Bank Multicarrier//IEEE Signal Processing M agazine.— 2011.— Vol. 28, № 3.— P. 92— 112.
  10. ^ Behrouz Farhang-Boroujeny. Filter Bank Multicarrier for Next Generation of Communication Systems.//Virginia Tech Symposium on Wireless Personal Communications. — June 2–4, 2010.
  11. ^ S. Galli; H. Koga; N. Nodokama (May 2008). Advanced Signal Processing for PLCs: Wavelet-OFDM. 2008 IEEE International Symposium on Power Line Communications and Its Applications. pp. 187–192. doi:10.1109/ISPLC.2008.4510421. ISBN 978-1-4244-1975-3.
  12. ^ a b M. R. D. Rodrigues and I. Darwazeh. A Spectrally Efficient Frequency Division Multiplexing Based Communications System.// InOWo'03, 8th International OFDM-Workshop, Proceedings, Hamburg, DE, September 24–25, 2003. - https://www.researchgate.net/publication/309373002
  13. ^ Safa Isam A Ahmed. Spectrally Efficient FDM Communication Signals and Transceivers: Design, Mathematical Modelling and System Optimization.//A thesis submitted for the degree of PhD. — Communications and Information Systems Research Group Department of Electronic and Electrical Engineering University College London. — October 2011.- http://discovery.ucl.ac.uk/1335609/1/1335609.pdf
  14. ^ Masanori Hamamura, Shinichi Tachikawa. Bandwidth efficiency improvement for multi-carrier systems. //15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, vol. 1, Sept. 2004, pp. 48 — 52.
  15. ^ Li. D. B. A high spectral efficiency technology and method for overlapped frequency division multiplexing [P]. 2006, PCT/CN2006/002012 (in Chinese)
  16. ^ Xing Yang, Wenbao Ait, Tianping Shuait, Daoben Li. A Fast Decoding Algorithm for Non-orthogonal Frequency Division Multiplexing Signals // Communications and Networking in China, 2007. CHINACOM '07. — 22-24 Aug. 2007, P. 595—598.
  17. ^ I. Kanaras, A. Chorti, M. Rodrigues, and I. Darwazeh, "A combined MMSE-ML detection for a spectrally efficient non orthogonal FDM signal, " in Broadband Communications, Networks and Systems, 2008. BROADNETS 2008. 5th International Conference on, Sept. 2008, pp. 421 −425.
  18. ^ I. Kanaras, A. Chorti, M. Rodrigues, and I. Darwazeh, "Spectrally efficient FDM signals: Bandwidth gain at the expense of receiver complexity, " in IEEE International Conference on Communications, 2009. ICC ’09., June 2009, pp. 1 −6.
  19. ^ Bharadwaj, S., Nithin Krishna, B.M.; Sutharshun, V.; Sudheesh, P.; Jayakumar, M. Low Complexity Detection Scheme for NOFDM Systems Based on ML Detection over Hyperspheres. 2011 International Conference on Devices and Communications, ICDeCom 2011 - Proceedings, Mesra, 24-25 February 2011, Pp. 1-5.