The Experts below are selected from a list of 81057 Experts worldwide ranked by ideXlab platform
Arumugam Nallanathan - One of the best experts on this subject based on the ideXlab platform.
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artificial noise aided secure mimo wireless communications via intelligent reflecting surface
arXiv: Signal Processing, 2020Co-Authors: Sheng Hong, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam NallanathanAbstract:This paper considers a MIMO secure wireless communication system aided by the physical layer Security Technique of sending artificial noise (AN). To further enhance the system Security performance, the advanced intelligent reflecting surface (IRS) is invoked in the AN-aided communication system, where the base station (BS), legitimate information receiver (IR) and eavesdropper (Eve) are equipped with multiple antennas. With the aim for maximizing the secrecy rate (SR), the transmit precoding (TPC) matrix at the BS, covariance matrix of AN and phase shifts at the IRS are jointly optimized subject to constrains of transmit power limit and unit modulus of IRS phase shifts. Then, the secrecy rate maximization (SRM) problem is formulated, which is a non-convex problem with multiple coupled variables. To tackle it, we propose to utilize the block coordinate descent (BCD) algorithm to alternately update the TPC matrix, AN covariance matrix, and phase shifts while keeping SR non-decreasing. Specifically, the optimal TPC matrix and AN covariance matrix are derived by Lagrangian multiplier method, and the optimal phase shifts are obtained by Majorization-Minimization (MM) algorithm. Since all variables can be calculated in closed form, the proposed algorithm is very efficient. We also extend the SRM problem to the more general multiple-IRs scenario and propose a BCD algorithm to solve it. Finally, simulation results validate the effectiveness of system Security enhancement via an IRS.
Sheng Hong - One of the best experts on this subject based on the ideXlab platform.
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artificial noise aided secure mimo wireless communications via intelligent reflecting surface
arXiv: Signal Processing, 2020Co-Authors: Sheng Hong, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam NallanathanAbstract:This paper considers a MIMO secure wireless communication system aided by the physical layer Security Technique of sending artificial noise (AN). To further enhance the system Security performance, the advanced intelligent reflecting surface (IRS) is invoked in the AN-aided communication system, where the base station (BS), legitimate information receiver (IR) and eavesdropper (Eve) are equipped with multiple antennas. With the aim for maximizing the secrecy rate (SR), the transmit precoding (TPC) matrix at the BS, covariance matrix of AN and phase shifts at the IRS are jointly optimized subject to constrains of transmit power limit and unit modulus of IRS phase shifts. Then, the secrecy rate maximization (SRM) problem is formulated, which is a non-convex problem with multiple coupled variables. To tackle it, we propose to utilize the block coordinate descent (BCD) algorithm to alternately update the TPC matrix, AN covariance matrix, and phase shifts while keeping SR non-decreasing. Specifically, the optimal TPC matrix and AN covariance matrix are derived by Lagrangian multiplier method, and the optimal phase shifts are obtained by Majorization-Minimization (MM) algorithm. Since all variables can be calculated in closed form, the proposed algorithm is very efficient. We also extend the SRM problem to the more general multiple-IRs scenario and propose a BCD algorithm to solve it. Finally, simulation results validate the effectiveness of system Security enhancement via an IRS.
Xianbin Wang - One of the best experts on this subject based on the ideXlab platform.
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A PHY-Aided Secure IoT Healthcare System with Collaboration of Social Networks
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017Co-Authors: Peng Hao, Xianbin WangAbstract:This paper proposes a novel physical-layer-aided Security Technique for protecting a social Internet of things (SIoT) architecture-based healthcare system. Exploiting the social relationship link between healthcare user (e.g., patients and elderly people) and healthcare provider (e.g., physicians), social networks can play the role of a trusted online platform to establish service application interfaces between healthcare user (HU) and healthcare provider (HP). This enables the Internet of things (IoT) medical devices (e.g., IoT body sensor) to timely share the bio-data of HU with remote HP via the both storage-rich and computational resource-rich social networks. Given the high Security requirement on SIoT data sharing and the fact that resource-constrained IoT devices cannot efficiently execute complicated cryptography, a robust and cost-effective two-phase Security method is proposed by exploiting the device-specific physical-layer (PHY) attributes. Specifically, the PHY carrier frequency offset and in-phase/quadrature-phase imbalance of an IoT device are practically estimated to generate the PHY-ID. Using our PHY-ID, the SIoT HU authentication and the bio-data confidentiality are simultaneously enhanced without posing any additional implementation overhead at IoT body sensors, which is especially applicable for the resource-constrained IoT devices.
Cunhua Pan - One of the best experts on this subject based on the ideXlab platform.
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artificial noise aided secure mimo wireless communications via intelligent reflecting surface
arXiv: Signal Processing, 2020Co-Authors: Sheng Hong, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam NallanathanAbstract:This paper considers a MIMO secure wireless communication system aided by the physical layer Security Technique of sending artificial noise (AN). To further enhance the system Security performance, the advanced intelligent reflecting surface (IRS) is invoked in the AN-aided communication system, where the base station (BS), legitimate information receiver (IR) and eavesdropper (Eve) are equipped with multiple antennas. With the aim for maximizing the secrecy rate (SR), the transmit precoding (TPC) matrix at the BS, covariance matrix of AN and phase shifts at the IRS are jointly optimized subject to constrains of transmit power limit and unit modulus of IRS phase shifts. Then, the secrecy rate maximization (SRM) problem is formulated, which is a non-convex problem with multiple coupled variables. To tackle it, we propose to utilize the block coordinate descent (BCD) algorithm to alternately update the TPC matrix, AN covariance matrix, and phase shifts while keeping SR non-decreasing. Specifically, the optimal TPC matrix and AN covariance matrix are derived by Lagrangian multiplier method, and the optimal phase shifts are obtained by Majorization-Minimization (MM) algorithm. Since all variables can be calculated in closed form, the proposed algorithm is very efficient. We also extend the SRM problem to the more general multiple-IRs scenario and propose a BCD algorithm to solve it. Finally, simulation results validate the effectiveness of system Security enhancement via an IRS.
Kezhi Wang - One of the best experts on this subject based on the ideXlab platform.
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artificial noise aided secure mimo wireless communications via intelligent reflecting surface
arXiv: Signal Processing, 2020Co-Authors: Sheng Hong, Cunhua Pan, Hong Ren, Kezhi Wang, Arumugam NallanathanAbstract:This paper considers a MIMO secure wireless communication system aided by the physical layer Security Technique of sending artificial noise (AN). To further enhance the system Security performance, the advanced intelligent reflecting surface (IRS) is invoked in the AN-aided communication system, where the base station (BS), legitimate information receiver (IR) and eavesdropper (Eve) are equipped with multiple antennas. With the aim for maximizing the secrecy rate (SR), the transmit precoding (TPC) matrix at the BS, covariance matrix of AN and phase shifts at the IRS are jointly optimized subject to constrains of transmit power limit and unit modulus of IRS phase shifts. Then, the secrecy rate maximization (SRM) problem is formulated, which is a non-convex problem with multiple coupled variables. To tackle it, we propose to utilize the block coordinate descent (BCD) algorithm to alternately update the TPC matrix, AN covariance matrix, and phase shifts while keeping SR non-decreasing. Specifically, the optimal TPC matrix and AN covariance matrix are derived by Lagrangian multiplier method, and the optimal phase shifts are obtained by Majorization-Minimization (MM) algorithm. Since all variables can be calculated in closed form, the proposed algorithm is very efficient. We also extend the SRM problem to the more general multiple-IRs scenario and propose a BCD algorithm to solve it. Finally, simulation results validate the effectiveness of system Security enhancement via an IRS.
