The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Makalah ini menyiasat masalah kerahsiaan pemaksimaan kecekapan tenaga (SEEM) dalam sistem maklumat wayarles dan pemindahan kuasa (SWIPT) serentak, di mana pengguna sah (LU) mengeksploitasi skim pemisahan kuasa (PS) untuk penyahkodan maklumat serentak (ID) dan penuaian tenaga (EH). Untuk mengelakkan gangguan daripada penyadap suara pada LU, bunyi buatan (AN) dimasukkan ke dalam isyarat sulit pada pemancar. Kami memaksimumkan kecekapan tenaga kerahsiaan (SEE) dengan menggabungkan kuasa isyarat sulit, kuasa AN dan nisbah PS, sambil mengambil kira keperluan kadar kerahsiaan minimum LU, tenaga penuaian minimum yang diperlukan, radio maksimum yang dibenarkan kuasa penghantaran frekuensi, dan nisbah PS. Masalah SEEM yang dirumuskan melibatkan pengaturcaraan pecahan bukan cembung dan secara amnya sukar dikawal. Penyelesaian kami ialah kaedah kelonggaran Lagrangian yang boleh mengubah masalah asal kepada masalah pengoptimuman dua lapisan. Masalah lapisan luar ialah masalah pengoptimuman pembolehubah tunggal dengan pengganda Lagrange, yang boleh diselesaikan dengan mudah. Sementara itu, lapisan dalam satu ialah pengaturcaraan pecahan, yang boleh diubah menjadi bentuk tolak yang diselesaikan menggunakan kaedah Dinkelbach. Penyelesaian bentuk tertutup diperolehi untuk kuasa isyarat sulit. Hasil simulasi mengesahkan kecekapan algoritma SEEM yang dicadangkan dan membuktikan bahawa reka bentuk bantuan AN ialah kaedah yang berkesan untuk menambah baik sistem SEE.
Chao MENG
Jinling Institute of Technology
Gang WANG
Southeast University
Bingjian YAN
Southeast University
Yongmei LI
Southeast University
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Salinan
Chao MENG, Gang WANG, Bingjian YAN, Yongmei LI, "Energy Efficiency Optimization for Secure SWIPT System" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 5, pp. 582-590, May 2020, doi: 10.1587/transcom.2019EBP3181.
Abstract: This paper investigates the secrecy energy efficiency maximization (SEEM) problem in a simultaneous wireless information and power transfer (SWIPT) system, wherein a legitimate user (LU) exploits the power splitting (PS) scheme for simultaneous information decoding (ID) and energy harvesting (EH). To prevent interference from eavesdroppers on the LU, artificial noise (AN) is incorporated into the confidential signal at the transmitter. We maximize the secrecy energy efficiency (SEE) by joining the power of the confidential signal, the AN power, and the PS ratio, while taking into account the minimum secrecy rate requirement of the LU, the required minimum harvested energy, the allowed maximum radio frequency transmission power, and the PS ratio. The formulated SEEM problem involves nonconvex fractional programming and is generally intractable. Our solution is Lagrangian relaxation method than can transform the original problem into a two-layer optimization problem. The outer layer problem is a single variable optimization problem with a Lagrange multiplier, which can be solved easily. Meanwhile, the inner layer one is fractional programming, which can be transformed into a subtractive form solved using the Dinkelbach method. A closed-form solution is derived for the power of the confidential signal. Simulation results verify the efficiency of the proposed SEEM algorithm and prove that AN-aided design is an effective method for improving system SEE.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3181/_p
Salinan
@ARTICLE{e103-b_5_582,
author={Chao MENG, Gang WANG, Bingjian YAN, Yongmei LI, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy Efficiency Optimization for Secure SWIPT System},
year={2020},
volume={E103-B},
number={5},
pages={582-590},
abstract={This paper investigates the secrecy energy efficiency maximization (SEEM) problem in a simultaneous wireless information and power transfer (SWIPT) system, wherein a legitimate user (LU) exploits the power splitting (PS) scheme for simultaneous information decoding (ID) and energy harvesting (EH). To prevent interference from eavesdroppers on the LU, artificial noise (AN) is incorporated into the confidential signal at the transmitter. We maximize the secrecy energy efficiency (SEE) by joining the power of the confidential signal, the AN power, and the PS ratio, while taking into account the minimum secrecy rate requirement of the LU, the required minimum harvested energy, the allowed maximum radio frequency transmission power, and the PS ratio. The formulated SEEM problem involves nonconvex fractional programming and is generally intractable. Our solution is Lagrangian relaxation method than can transform the original problem into a two-layer optimization problem. The outer layer problem is a single variable optimization problem with a Lagrange multiplier, which can be solved easily. Meanwhile, the inner layer one is fractional programming, which can be transformed into a subtractive form solved using the Dinkelbach method. A closed-form solution is derived for the power of the confidential signal. Simulation results verify the efficiency of the proposed SEEM algorithm and prove that AN-aided design is an effective method for improving system SEE.},
keywords={},
doi={10.1587/transcom.2019EBP3181},
ISSN={1745-1345},
month={May},}
Salinan
TY - JOUR
TI - Energy Efficiency Optimization for Secure SWIPT System
T2 - IEICE TRANSACTIONS on Communications
SP - 582
EP - 590
AU - Chao MENG
AU - Gang WANG
AU - Bingjian YAN
AU - Yongmei LI
PY - 2020
DO - 10.1587/transcom.2019EBP3181
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2020
AB - This paper investigates the secrecy energy efficiency maximization (SEEM) problem in a simultaneous wireless information and power transfer (SWIPT) system, wherein a legitimate user (LU) exploits the power splitting (PS) scheme for simultaneous information decoding (ID) and energy harvesting (EH). To prevent interference from eavesdroppers on the LU, artificial noise (AN) is incorporated into the confidential signal at the transmitter. We maximize the secrecy energy efficiency (SEE) by joining the power of the confidential signal, the AN power, and the PS ratio, while taking into account the minimum secrecy rate requirement of the LU, the required minimum harvested energy, the allowed maximum radio frequency transmission power, and the PS ratio. The formulated SEEM problem involves nonconvex fractional programming and is generally intractable. Our solution is Lagrangian relaxation method than can transform the original problem into a two-layer optimization problem. The outer layer problem is a single variable optimization problem with a Lagrange multiplier, which can be solved easily. Meanwhile, the inner layer one is fractional programming, which can be transformed into a subtractive form solved using the Dinkelbach method. A closed-form solution is derived for the power of the confidential signal. Simulation results verify the efficiency of the proposed SEEM algorithm and prove that AN-aided design is an effective method for improving system SEE.
ER -