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
이 편지에서는 정보 수신기(IR)를 위한 기밀 메시지가 에너지 수신기(ER)로부터 비밀로 유지되어야 하는 MIMO(다중 입력 다중 출력) SWIPT(동시 무선 정보 및 전력 전송) 시스템을 고려합니다. ). 우리의 목표는 비밀률, 에너지 수확 및 전송 전력 제약을 보장하면서 시스템의 비밀 에너지 효율(SEE)을 최대화하도록 최적의 전송 공분산 행렬을 설계하는 것입니다. 원래의 비볼록 최적화 문제를 해결하기 위해 교대 최적화(AO) 기반 알고리즘을 제안하고 그 수렴도 증명합니다. 시뮬레이션 결과는 제안된 알고리즘이 SEE 측면에서 기존 설계 방법보다 성능이 우수하다는 것을 보여줍니다.
Yewang QIAN
Southeast University,Chizhou University
Tingting ZHANG
Southeast University
Haiyang ZHANG
Southeast University
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부
Yewang QIAN, Tingting ZHANG, Haiyang ZHANG, "Secrecy Energy Efficiency Optimization for MIMO SWIPT Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 7, pp. 1141-1145, July 2018, doi: 10.1587/transfun.E101.A.1141.
Abstract: In this letter, we consider a multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system, in which the confidential message intended for the information receiver (IR) should be kept secret from the energy receiver (ER). Our goal is to design the optimal transmit covariance matrix so as to maximize the secrecy energy efficiency (SEE) of the system while guaranteeing the secrecy rate, energy harvesting and transmit power constraints. To deal with the original non-convex optimization problem, we propose an alternating optimization (AO)- based algorithm and also prove its convergence. Simulation results show that the proposed algorithm outperforms conventional design methods in terms of SEE.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1141/_p
부
@ARTICLE{e101-a_7_1141,
author={Yewang QIAN, Tingting ZHANG, Haiyang ZHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Secrecy Energy Efficiency Optimization for MIMO SWIPT Systems},
year={2018},
volume={E101-A},
number={7},
pages={1141-1145},
abstract={In this letter, we consider a multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system, in which the confidential message intended for the information receiver (IR) should be kept secret from the energy receiver (ER). Our goal is to design the optimal transmit covariance matrix so as to maximize the secrecy energy efficiency (SEE) of the system while guaranteeing the secrecy rate, energy harvesting and transmit power constraints. To deal with the original non-convex optimization problem, we propose an alternating optimization (AO)- based algorithm and also prove its convergence. Simulation results show that the proposed algorithm outperforms conventional design methods in terms of SEE.},
keywords={},
doi={10.1587/transfun.E101.A.1141},
ISSN={1745-1337},
month={July},}
부
TY - JOUR
TI - Secrecy Energy Efficiency Optimization for MIMO SWIPT Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1141
EP - 1145
AU - Yewang QIAN
AU - Tingting ZHANG
AU - Haiyang ZHANG
PY - 2018
DO - 10.1587/transfun.E101.A.1141
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2018
AB - In this letter, we consider a multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system, in which the confidential message intended for the information receiver (IR) should be kept secret from the energy receiver (ER). Our goal is to design the optimal transmit covariance matrix so as to maximize the secrecy energy efficiency (SEE) of the system while guaranteeing the secrecy rate, energy harvesting and transmit power constraints. To deal with the original non-convex optimization problem, we propose an alternating optimization (AO)- based algorithm and also prove its convergence. Simulation results show that the proposed algorithm outperforms conventional design methods in terms of SEE.
ER -