On Approximated LLR for Single Carrier Millimeter-Wave Transmissions in the Presence of Phase Noise

Makoto NISHIKORI; Shinsuke IBI; Seiichi SAMPEI

doi:10.1587/transcom.2016SCP0003

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On Approximated LLR for Single Carrier Millimeter-Wave Transmissions in the Presence of Phase Noise

Makoto NISHIKORI, Shinsuke IBI, Seiichi SAMPEI

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Summary :

This paper proposes approximated log likelihood ratios (LLRs) for single carrier millimeter-wave (mmW) transmission systems in the presence of phase noise. In mmW systems, phase noise on carrier wave signals in very high frequency bands causes severe performance degradation. In order to mitigate the impairments of phase noise, forward error correction (FEC) techniques, such as low density parity check (LDPC) code, are effective. However, if the probabilistic model does not capture the exact behavior of the random process present in the received signal, FEC performance is severely degraded, especially in higher order modulation or high coding rate cases. To address this issue, we carefully examine the probabilistic model of minimum mean square error (MMSE) equalizer output including phase noise component. Based on the derived probabilistic model, approximated LLR computation methods with low computational burden are proposed. Computer simulations confirm that the approximated LLR computations on the basis of the derived probabilistic model are capable of improving bit error rate (BER) performance without sacrificing computational simplicity in the presence of phase noise.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.7 pp.1086-1093

Publication Date: 2017/07/01

Publicized: 2017/01/12

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016SCP0003

Type of Manuscript: Special Section PAPER (Special Section on Smart Radio and Its Applications in Conjunction with Main Topics of SmartCom)

Category: Wireless Communication Technologies

Authors

Makoto NISHIKORI
  Osaka University
Shinsuke IBI
  Osaka University
Seiichi SAMPEI
  Osaka University

Keyword

log likelihood ratio, phase noise, millimeter wave, single carrier, frequency domain equalizer

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Makoto NISHIKORI, Shinsuke IBI, Seiichi SAMPEI, "On Approximated LLR for Single Carrier Millimeter-Wave Transmissions in the Presence of Phase Noise" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 7, pp. 1086-1093, July 2017, doi: 10.1587/transcom.2016SCP0003.
Abstract: This paper proposes approximated log likelihood ratios (LLRs) for single carrier millimeter-wave (mmW) transmission systems in the presence of phase noise. In mmW systems, phase noise on carrier wave signals in very high frequency bands causes severe performance degradation. In order to mitigate the impairments of phase noise, forward error correction (FEC) techniques, such as low density parity check (LDPC) code, are effective. However, if the probabilistic model does not capture the exact behavior of the random process present in the received signal, FEC performance is severely degraded, especially in higher order modulation or high coding rate cases. To address this issue, we carefully examine the probabilistic model of minimum mean square error (MMSE) equalizer output including phase noise component. Based on the derived probabilistic model, approximated LLR computation methods with low computational burden are proposed. Computer simulations confirm that the approximated LLR computations on the basis of the derived probabilistic model are capable of improving bit error rate (BER) performance without sacrificing computational simplicity in the presence of phase noise.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016SCP0003/_p

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@ARTICLE{e100-b_7_1086,
author={Makoto NISHIKORI, Shinsuke IBI, Seiichi SAMPEI, },
journal={IEICE TRANSACTIONS on Communications},
title={On Approximated LLR for Single Carrier Millimeter-Wave Transmissions in the Presence of Phase Noise},
year={2017},
volume={E100-B},
number={7},
pages={1086-1093},
abstract={This paper proposes approximated log likelihood ratios (LLRs) for single carrier millimeter-wave (mmW) transmission systems in the presence of phase noise. In mmW systems, phase noise on carrier wave signals in very high frequency bands causes severe performance degradation. In order to mitigate the impairments of phase noise, forward error correction (FEC) techniques, such as low density parity check (LDPC) code, are effective. However, if the probabilistic model does not capture the exact behavior of the random process present in the received signal, FEC performance is severely degraded, especially in higher order modulation or high coding rate cases. To address this issue, we carefully examine the probabilistic model of minimum mean square error (MMSE) equalizer output including phase noise component. Based on the derived probabilistic model, approximated LLR computation methods with low computational burden are proposed. Computer simulations confirm that the approximated LLR computations on the basis of the derived probabilistic model are capable of improving bit error rate (BER) performance without sacrificing computational simplicity in the presence of phase noise.},
keywords={},
doi={10.1587/transcom.2016SCP0003},
ISSN={1745-1345},
month={July},}

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TY - JOUR
TI - On Approximated LLR for Single Carrier Millimeter-Wave Transmissions in the Presence of Phase Noise
T2 - IEICE TRANSACTIONS on Communications
SP - 1086
EP - 1093
AU - Makoto NISHIKORI
AU - Shinsuke IBI
AU - Seiichi SAMPEI
PY - 2017
DO - 10.1587/transcom.2016SCP0003
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2017
AB - This paper proposes approximated log likelihood ratios (LLRs) for single carrier millimeter-wave (mmW) transmission systems in the presence of phase noise. In mmW systems, phase noise on carrier wave signals in very high frequency bands causes severe performance degradation. In order to mitigate the impairments of phase noise, forward error correction (FEC) techniques, such as low density parity check (LDPC) code, are effective. However, if the probabilistic model does not capture the exact behavior of the random process present in the received signal, FEC performance is severely degraded, especially in higher order modulation or high coding rate cases. To address this issue, we carefully examine the probabilistic model of minimum mean square error (MMSE) equalizer output including phase noise component. Based on the derived probabilistic model, approximated LLR computation methods with low computational burden are proposed. Computer simulations confirm that the approximated LLR computations on the basis of the derived probabilistic model are capable of improving bit error rate (BER) performance without sacrificing computational simplicity in the presence of phase noise.
ER -