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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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/ |
work_keys_str_mv |
AT chaomeng secureenergyefficienttransmissionforswiptintelligentconnectedvehicleswithimperfectcsi AT gangwang secureenergyefficienttransmissionforswiptintelligentconnectedvehicleswithimperfectcsi AT xidai secureenergyefficienttransmissionforswiptintelligentconnectedvehicleswithimperfectcsi |
_version_ |
1724187706555105280 |