Reduced complexity optimal detection of binary faster-than-Nyquist signaling

Ebrahim Bedeer Mohamed, Halim Yanikomeroglu, Mohamed Hossam Ahmed

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

In this paper, we investigate the detection problem ofbinary faster-than-Nyquist (FTN) signaling and propose a novelsequence estimation technique that exploits its special structure.In particular, the proposed sequence estimation technique isbased on sphere decoding (SD) and exploits the following twocharacteristics about the FTN detection problem: 1) the correlationbetween the noise samples after the receiver matchedfilter, and 2) the structure of the intersymbol interference (ISI)matrix. Simulation results show that the proposed SD-basedsequence estimation (SDSE) achieves the optimal performance ofthe maximum likelihood sequence estimation (MLSE) at reducedcomputational complexity. This paper demonstrates that FTNsignaling has the great potential of increasing the data rateand spectral efficiency substantially, when compared to Nyquistsignaling, for the same bit-error-rate (BER) and signal-to-noiseratio (SNR).

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Decoding
Intersymbol interference
Bit error rate
Maximum likelihood

Keywords

  • Faster-than-Nyquist
  • equalization
  • sphere decoding

Cite this

@article{6370b045cf064e1fab01ea5fe412555d,
title = "Reduced complexity optimal detection of binary faster-than-Nyquist signaling",
abstract = "In this paper, we investigate the detection problem ofbinary faster-than-Nyquist (FTN) signaling and propose a novelsequence estimation technique that exploits its special structure.In particular, the proposed sequence estimation technique isbased on sphere decoding (SD) and exploits the following twocharacteristics about the FTN detection problem: 1) the correlationbetween the noise samples after the receiver matchedfilter, and 2) the structure of the intersymbol interference (ISI)matrix. Simulation results show that the proposed SD-basedsequence estimation (SDSE) achieves the optimal performance ofthe maximum likelihood sequence estimation (MLSE) at reducedcomputational complexity. This paper demonstrates that FTNsignaling has the great potential of increasing the data rateand spectral efficiency substantially, when compared to Nyquistsignaling, for the same bit-error-rate (BER) and signal-to-noiseratio (SNR).",
keywords = "Faster-than-Nyquist, equalization, sphere decoding",
author = "Mohamed, {Ebrahim Bedeer} and Halim Yanikomeroglu and Ahmed, {Mohamed Hossam}",
year = "2017",
month = "7",
day = "31",
doi = "10.1109/ICC.2017.7997456",
language = "English",
pages = "1--6",
journal = "2014 IEEE International Conference on Communications (ICC)",
issn = "1938-1883",

}

Reduced complexity optimal detection of binary faster-than-Nyquist signaling. / Mohamed, Ebrahim Bedeer; Yanikomeroglu, Halim; Ahmed, Mohamed Hossam.

In: Reduced complexity optimal detection of binary faster-than-Nyquist signaling, 31.07.2017, p. 1-6.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Reduced complexity optimal detection of binary faster-than-Nyquist signaling

AU - Mohamed, Ebrahim Bedeer

AU - Yanikomeroglu, Halim

AU - Ahmed, Mohamed Hossam

PY - 2017/7/31

Y1 - 2017/7/31

N2 - In this paper, we investigate the detection problem ofbinary faster-than-Nyquist (FTN) signaling and propose a novelsequence estimation technique that exploits its special structure.In particular, the proposed sequence estimation technique isbased on sphere decoding (SD) and exploits the following twocharacteristics about the FTN detection problem: 1) the correlationbetween the noise samples after the receiver matchedfilter, and 2) the structure of the intersymbol interference (ISI)matrix. Simulation results show that the proposed SD-basedsequence estimation (SDSE) achieves the optimal performance ofthe maximum likelihood sequence estimation (MLSE) at reducedcomputational complexity. This paper demonstrates that FTNsignaling has the great potential of increasing the data rateand spectral efficiency substantially, when compared to Nyquistsignaling, for the same bit-error-rate (BER) and signal-to-noiseratio (SNR).

AB - In this paper, we investigate the detection problem ofbinary faster-than-Nyquist (FTN) signaling and propose a novelsequence estimation technique that exploits its special structure.In particular, the proposed sequence estimation technique isbased on sphere decoding (SD) and exploits the following twocharacteristics about the FTN detection problem: 1) the correlationbetween the noise samples after the receiver matchedfilter, and 2) the structure of the intersymbol interference (ISI)matrix. Simulation results show that the proposed SD-basedsequence estimation (SDSE) achieves the optimal performance ofthe maximum likelihood sequence estimation (MLSE) at reducedcomputational complexity. This paper demonstrates that FTNsignaling has the great potential of increasing the data rateand spectral efficiency substantially, when compared to Nyquistsignaling, for the same bit-error-rate (BER) and signal-to-noiseratio (SNR).

KW - Faster-than-Nyquist

KW - equalization

KW - sphere decoding

U2 - 10.1109/ICC.2017.7997456

DO - 10.1109/ICC.2017.7997456

M3 - Conference article

SP - 1

EP - 6

JO - 2014 IEEE International Conference on Communications (ICC)

T2 - 2014 IEEE International Conference on Communications (ICC)

JF - 2014 IEEE International Conference on Communications (ICC)

SN - 1938-1883

ER -