Physical layer security is effective in wireless communications because it makes a transmission secure from the beginning of protocols. We have proposed a chaos multiple-input multiple-output (C-MIMO) transmission scheme that achieves both physical layer security and channel coding gain using chaos signals. C-MIMO is a type of encryption modulation and it obtains the coding gain in conjunction with encryption without a decrease in the transmission efficiency. Thus, the error rate performance is improved in C-MIMO. However, decoding complexity increases exponentially with code length because of the use of maximum likelihood sequence estimation (MLSE), which restricts the code length of C-MIMO and thus the channel coding gain. Therefore, in this paper, we consider outer channel code concatenation instead of code length expansion for C-MIMO, and propose an iterative turbo decoding scheme for performance improvement by introducing a log-likelihood ratio (LLR) into C-MIMO and by utilizing turbo principle. The improved performances of the proposed scheme, compared to the conventional scheme when the outer channel codes are convolutional code and low-density parity check (LDPC) code, are shown by computer simulations.
Eiji OKAMOTO
Graduate School of Engineering, Nagoya Institute of Technology
Yuma INABA
Graduate School of Engineering, Nagoya Institute of Technology
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Eiji OKAMOTO, Yuma INABA, "A Chaos MIMO Transmission Scheme Using Turbo Principle for Secure Channel-Coded Transmission" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 8, pp. 1482-1491, August 2015, doi: 10.1587/transcom.E98.B.1482.
Abstract: Physical layer security is effective in wireless communications because it makes a transmission secure from the beginning of protocols. We have proposed a chaos multiple-input multiple-output (C-MIMO) transmission scheme that achieves both physical layer security and channel coding gain using chaos signals. C-MIMO is a type of encryption modulation and it obtains the coding gain in conjunction with encryption without a decrease in the transmission efficiency. Thus, the error rate performance is improved in C-MIMO. However, decoding complexity increases exponentially with code length because of the use of maximum likelihood sequence estimation (MLSE), which restricts the code length of C-MIMO and thus the channel coding gain. Therefore, in this paper, we consider outer channel code concatenation instead of code length expansion for C-MIMO, and propose an iterative turbo decoding scheme for performance improvement by introducing a log-likelihood ratio (LLR) into C-MIMO and by utilizing turbo principle. The improved performances of the proposed scheme, compared to the conventional scheme when the outer channel codes are convolutional code and low-density parity check (LDPC) code, are shown by computer simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.1482/_p
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@ARTICLE{e98-b_8_1482,
author={Eiji OKAMOTO, Yuma INABA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Chaos MIMO Transmission Scheme Using Turbo Principle for Secure Channel-Coded Transmission},
year={2015},
volume={E98-B},
number={8},
pages={1482-1491},
abstract={Physical layer security is effective in wireless communications because it makes a transmission secure from the beginning of protocols. We have proposed a chaos multiple-input multiple-output (C-MIMO) transmission scheme that achieves both physical layer security and channel coding gain using chaos signals. C-MIMO is a type of encryption modulation and it obtains the coding gain in conjunction with encryption without a decrease in the transmission efficiency. Thus, the error rate performance is improved in C-MIMO. However, decoding complexity increases exponentially with code length because of the use of maximum likelihood sequence estimation (MLSE), which restricts the code length of C-MIMO and thus the channel coding gain. Therefore, in this paper, we consider outer channel code concatenation instead of code length expansion for C-MIMO, and propose an iterative turbo decoding scheme for performance improvement by introducing a log-likelihood ratio (LLR) into C-MIMO and by utilizing turbo principle. The improved performances of the proposed scheme, compared to the conventional scheme when the outer channel codes are convolutional code and low-density parity check (LDPC) code, are shown by computer simulations.},
keywords={},
doi={10.1587/transcom.E98.B.1482},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - A Chaos MIMO Transmission Scheme Using Turbo Principle for Secure Channel-Coded Transmission
T2 - IEICE TRANSACTIONS on Communications
SP - 1482
EP - 1491
AU - Eiji OKAMOTO
AU - Yuma INABA
PY - 2015
DO - 10.1587/transcom.E98.B.1482
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2015
AB - Physical layer security is effective in wireless communications because it makes a transmission secure from the beginning of protocols. We have proposed a chaos multiple-input multiple-output (C-MIMO) transmission scheme that achieves both physical layer security and channel coding gain using chaos signals. C-MIMO is a type of encryption modulation and it obtains the coding gain in conjunction with encryption without a decrease in the transmission efficiency. Thus, the error rate performance is improved in C-MIMO. However, decoding complexity increases exponentially with code length because of the use of maximum likelihood sequence estimation (MLSE), which restricts the code length of C-MIMO and thus the channel coding gain. Therefore, in this paper, we consider outer channel code concatenation instead of code length expansion for C-MIMO, and propose an iterative turbo decoding scheme for performance improvement by introducing a log-likelihood ratio (LLR) into C-MIMO and by utilizing turbo principle. The improved performances of the proposed scheme, compared to the conventional scheme when the outer channel codes are convolutional code and low-density parity check (LDPC) code, are shown by computer simulations.
ER -