Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI

In this paper, the secure energy-efficient transmission problem for an artificial-noise (AN)-aided simultaneous wireless information and power transfer (SWIPT) and vehicle-to-infrastructure (V2I) communication system with the imperfect channel state information (CSI) is studied. The secure energy ef...

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Main Authors: Chao Meng, Gang Wang, Xi Dai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8854148/
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spelling doaj-71f35e4e0b08498ba1959d8a86a118f22021-03-30T00:53:02ZengIEEEIEEE Access2169-35362019-01-01715464915465810.1109/ACCESS.2019.29449488854148Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSIChao Meng0Gang Wang1https://orcid.org/0000-0002-9259-260XXi Dai2School of Networks and Telecommunications Engineering, Jinling Institute of Technology, Nanjing, ChinaNational Mobile Communications Research Laboratory, Southeast University, Nanjing, ChinaSchool of Networks and Telecommunications Engineering, Jinling Institute of Technology, Nanjing, ChinaIn this paper, the secure energy-efficient transmission problem for an artificial-noise (AN)-aided simultaneous wireless information and power transfer (SWIPT) and vehicle-to-infrastructure (V2I) communication system with the imperfect channel state information (CSI) is studied. The secure energy efficiency problem is formulated with the imperfect CSI, where the constraints contain the minimum secrecy rate request of the legitimate vehicle (LV), the minimum energy harvesting (EH) request, the maximum transmit power, and the power splitting (PS) value. By exploiting the maximum ratio transmission (MRT) scheme and the norm-bounded matrix theory, we convert the original intractable problem to a fractional optimization one with three variables. Then, a two-level optimization algorithm is presented for the nonconvex fractional optimization problem. By introducing an auxiliary slack variable, the first level problem can be solved via one-dimensional optimization algorithm. The second level fractional optimization problem was furhther converted into an integer optimization one by the Dinkelbach method, and the closed-form solutions of the transmit power and the AN power are provided. Simulation results are given to verify the performance of our presented algorithm.https://ieeexplore.ieee.org/document/8854148/Energy-efficientartificial noisesimultaneous wireless information and power transfervehicle-to-infrastructureimperfect CSIenergy harvesting
collection DOAJ
language English
format Article
sources DOAJ
author Chao Meng
Gang Wang
Xi Dai
spellingShingle Chao Meng
Gang Wang
Xi Dai
Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI
IEEE Access
Energy-efficient
artificial noise
simultaneous wireless information and power transfer
vehicle-to-infrastructure
imperfect CSI
energy harvesting
author_facet Chao Meng
Gang Wang
Xi Dai
author_sort Chao Meng
title Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI
title_short Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI
title_full Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI
title_fullStr Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI
title_full_unstemmed Secure Energy-Efficient Transmission for SWIPT Intelligent Connected Vehicles With Imperfect CSI
title_sort secure energy-efficient transmission for swipt intelligent connected vehicles with imperfect csi
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description In this paper, the secure energy-efficient transmission problem for an artificial-noise (AN)-aided simultaneous wireless information and power transfer (SWIPT) and vehicle-to-infrastructure (V2I) communication system with the imperfect channel state information (CSI) is studied. The secure energy efficiency problem is formulated with the imperfect CSI, where the constraints contain the minimum secrecy rate request of the legitimate vehicle (LV), the minimum energy harvesting (EH) request, the maximum transmit power, and the power splitting (PS) value. By exploiting the maximum ratio transmission (MRT) scheme and the norm-bounded matrix theory, we convert the original intractable problem to a fractional optimization one with three variables. Then, a two-level optimization algorithm is presented for the nonconvex fractional optimization problem. By introducing an auxiliary slack variable, the first level problem can be solved via one-dimensional optimization algorithm. The second level fractional optimization problem was furhther converted into an integer optimization one by the Dinkelbach method, and the closed-form solutions of the transmit power and the AN power are provided. Simulation results are given to verify the performance of our presented algorithm.
topic Energy-efficient
artificial noise
simultaneous wireless information and power transfer
vehicle-to-infrastructure
imperfect CSI
energy harvesting
url https://ieeexplore.ieee.org/document/8854148/
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AT gangwang secureenergyefficienttransmissionforswiptintelligentconnectedvehicleswithimperfectcsi
AT xidai secureenergyefficienttransmissionforswiptintelligentconnectedvehicleswithimperfectcsi
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