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

Ebrahim Bedeer Mohamed; Halim Yanikomeroglu; Mohamed Hossam Ahmed

doi:10.1109/ICC.2017.7997456

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

Ebrahim Bedeer Mohamed, Halim Yanikomeroglu, Mohamed Hossam Ahmed

Research output: Contribution to journal › Conference article › peer-review

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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).

Original language	English
Pages (from-to)	1-6
Number of pages	6
Journal	Reduced complexity optimal detection of binary faster-than-Nyquist signaling
DOIs	https://doi.org/10.1109/ICC.2017.7997456
Publication status	Published (in print/issue) - 31 Jul 2017
Event	Communications (ICC), 2017 IEEE International Conference on - Duration: 27 Jan 2017 → …

Keywords

Faster-than-Nyquist
equalization
sphere decoding

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10.1109/ICC.2017.7997456

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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}",

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

AU - Mohamed, Ebrahim Bedeer

AU - Yanikomeroglu, Halim

AU - Ahmed, Mohamed Hossam

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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

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

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

T2 - Communications (ICC), 2017 IEEE International Conference on

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ER -

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

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Keywords

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