The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Weidong Mei - One of the best experts on this subject based on the ideXlab platform.
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Confidential Broadcasting and Service Integration in Millimeter Wave Systems
IEEE Systems Journal, 2019Co-Authors: Weidong Mei, Zhi ChenAbstract:This paper focuses on the transmit design for efficient implementation of confidential broadcasting and service integration in a two-receiver millimeter wave (mmWave) system. In confidential broadcasting, a transmitter broadcasts two confidential Messages to two receivers. Each confidential Message is intended for one specified receiver and kept perfectly secret from the other. To fully exploit the propagation characteristics of mmWave channels, two heuristic transmit schemes, i.e., matched filter (MF) and partially MF (PMF) schemes, are proposed to tradeoff the secrecy rates at the two receivers. We obtain the secrecy rate regions by varying a power allocation ratio. On the other hand, in service integration, a Multicast Message intended for both receivers is introduced in the system. With MF and PMF schemes used for confidential Message transmission, we further consider the beamforming design of the Multicast Message, such that the achievable Multicast rate is maximized. The associated optimization problem admits a closed-form solution, and then the secrecy rate region can be obtained still by varying a power allocation ratio. We also compare our proposal with the globally optimal schemes in terms of achievable performance and implementation complexity. Finally, numerical results are presented to verify the efficacy of our proposed method.
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VTC Spring - Artificial-Noise-Aided Transmit Optimization for Service Integration in MIMO-OFDM Systems
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 2018Co-Authors: Shiyu Chen, Zhi Chen, Weidong MeiAbstract:This paper considers a new frequency-domain artificial noise (AN)-aided transmit design for service integration in a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. In this system, two sorts of service Messages are combined and provided simultaneously at each frequency subchannel: one Multicast Message intended for all receivers and one confidential Message intended for only one receiver. The confidential Message is kept perfectly secure from all the other receivers. To characterize the tradeoff between the secrecy rate and Multicast rate, our goal is to maximize the weighted sum of the two rates over all subchannels by jointly designing the input covariances for the Multicast Message, confidential Message and AN at each subcarrier. This problem is nonconvex by nature and challenging to solve. To make it tractable, we recast this weighted sum rate maximization (WSRM) problem into a primal decomposable form, which is amenable to alternating optimization (AO). By this means, we can obtain a locally optimal solution to the WSRM problem. Numerical results are finally presented to show the efficacy of our proposed method and reveal some insights into our considered scheme.
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GlobalSIP - Transmitter optimization for MISO system with service integration of Multicasting and confidential broadcasting
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017Co-Authors: Shiyu Chen, Zhi Chen, Weidong MeiAbstract:This paper considers a two-user multiple-input single-output Gaussian broadcast channel model with two sorts of information transfer, i.e., Multicasting and confidential broadcasting. Specifically, three service Messages are combined at the transmitter. The transmitter sends a Multicast Message to both users, and a confidential Message to each user which is kept perfectly secret from the other user. Our goal is to jointly design the optimal input covariances for the Multicast Message and the two confidential Messages, such that the secrecy capacity region is maximized. This problem can be formulated as a secrecy rate maximization (SRM) problem with the quality of Multicast service constraint and the quality of confidential service constraint. This SRM problem is nonconvex by nature. To solve it, we reveal its hidden convexity and transform the original SRM problem into a semidefinite programming problem. Furthermore, we prove that the optimal input covariance matrices of the Multicast Message and the two confidential Messages are always with rank one, which implies the optimality of beamforming. Besides, we show that the arithmetic complexity of our proposed method is polynomial with regard to the dimension of the optimization variables. Numerical results are finally presented to show the efficacy of our proposed method.
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ICASSP - Biobjective transmitter optimization for service integration in MIMO Gaussian broadcast channel
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Weidong Mei, Zhi Chen, Weiqing Kong, Jun FangAbstract:This paper considers a two-receiver multiple-input multiple-output (MIMO) Gaussian broadcast channel model with integrated services. Specifically, two sorts of service Messages are combined and served simultaneously: one Multicast Message intended for both receivers and one confidential Message intended for only one receiver and kept perfectly secure from the other receiver. Our goal is to jointly design the transmit covariances of the Multicast Message and confidential Message, such that the secrecy capacity region is maximized. This maximization problem is a biobjective optimization problem, but can be converted into a general scalar optimization problem via our proposed method of scalarization. Nonetheless, the equivalent scalar problem is nonconvex by nature. To circumvent the nonconvex issue, a provably convergent difference-of-concave (DC) approach is introduced to solve it in an iterative fashion. In view of the high computational complexity of the DC approach, a power splitting method is also devised for fast implementation of service integration. The security performance and computational efficiency of our proposed algorithms are finally demonstrated by numerical results.
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Secrecy Capacity Region Maximization in Gaussian MISO Channels With Integrated Services
IEEE Signal Processing Letters, 2016Co-Authors: Weidong Mei, Zhi Chen, Jun FangAbstract:This letter considers a two-receiver multiple-input single-output Gaussian broadcast channel model with integrated services. Specifically, two sorts of service Messages are combined and served simultaneously: one Multicast Message intended for both receivers and one confidential Message intended for only one receiver. The confidential Message is kept perfectly secure from the unauthorized receiver. Our goal is to jointly design the input covariances for the Multicast Message and confidential Message, such that the secrecy capacity region is maximized. This secrecy capacity region maximization (SCRM) problem is a nonconvex vector maximization problem. To deal with this issue, we reformulate the SCRM problem into a provably equivalent scalar optimization problem and propose a searching method to find its overall Pareto optimal points. Further, for implementation efficiency, transmit beamforming is proved to be Pareto optimal. However, since the two service Messages are coupled in our optimization problem, it is difficult to deduce closed-form expressions of the Pareto optimal beamformers. A suboptimal transmit design is accordingly proposed to analytically obtain beamformers for both service Messages. Numerical results illustrate that the performance gap between the Pareto optimal design and our proposal is negligible.
Zhi Chen - One of the best experts on this subject based on the ideXlab platform.
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Confidential Broadcasting and Service Integration in Millimeter Wave Systems
IEEE Systems Journal, 2019Co-Authors: Weidong Mei, Zhi ChenAbstract:This paper focuses on the transmit design for efficient implementation of confidential broadcasting and service integration in a two-receiver millimeter wave (mmWave) system. In confidential broadcasting, a transmitter broadcasts two confidential Messages to two receivers. Each confidential Message is intended for one specified receiver and kept perfectly secret from the other. To fully exploit the propagation characteristics of mmWave channels, two heuristic transmit schemes, i.e., matched filter (MF) and partially MF (PMF) schemes, are proposed to tradeoff the secrecy rates at the two receivers. We obtain the secrecy rate regions by varying a power allocation ratio. On the other hand, in service integration, a Multicast Message intended for both receivers is introduced in the system. With MF and PMF schemes used for confidential Message transmission, we further consider the beamforming design of the Multicast Message, such that the achievable Multicast rate is maximized. The associated optimization problem admits a closed-form solution, and then the secrecy rate region can be obtained still by varying a power allocation ratio. We also compare our proposal with the globally optimal schemes in terms of achievable performance and implementation complexity. Finally, numerical results are presented to verify the efficacy of our proposed method.
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VTC Spring - Artificial-Noise-Aided Transmit Optimization for Service Integration in MIMO-OFDM Systems
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 2018Co-Authors: Shiyu Chen, Zhi Chen, Weidong MeiAbstract:This paper considers a new frequency-domain artificial noise (AN)-aided transmit design for service integration in a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. In this system, two sorts of service Messages are combined and provided simultaneously at each frequency subchannel: one Multicast Message intended for all receivers and one confidential Message intended for only one receiver. The confidential Message is kept perfectly secure from all the other receivers. To characterize the tradeoff between the secrecy rate and Multicast rate, our goal is to maximize the weighted sum of the two rates over all subchannels by jointly designing the input covariances for the Multicast Message, confidential Message and AN at each subcarrier. This problem is nonconvex by nature and challenging to solve. To make it tractable, we recast this weighted sum rate maximization (WSRM) problem into a primal decomposable form, which is amenable to alternating optimization (AO). By this means, we can obtain a locally optimal solution to the WSRM problem. Numerical results are finally presented to show the efficacy of our proposed method and reveal some insights into our considered scheme.
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ICASSP - Biobjective transmitter optimization for service integration in MIMO Gaussian broadcast channel
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Weidong Mei, Zhi Chen, Weiqing Kong, Jun FangAbstract:This paper considers a two-receiver multiple-input multiple-output (MIMO) Gaussian broadcast channel model with integrated services. Specifically, two sorts of service Messages are combined and served simultaneously: one Multicast Message intended for both receivers and one confidential Message intended for only one receiver and kept perfectly secure from the other receiver. Our goal is to jointly design the transmit covariances of the Multicast Message and confidential Message, such that the secrecy capacity region is maximized. This maximization problem is a biobjective optimization problem, but can be converted into a general scalar optimization problem via our proposed method of scalarization. Nonetheless, the equivalent scalar problem is nonconvex by nature. To circumvent the nonconvex issue, a provably convergent difference-of-concave (DC) approach is introduced to solve it in an iterative fashion. In view of the high computational complexity of the DC approach, a power splitting method is also devised for fast implementation of service integration. The security performance and computational efficiency of our proposed algorithms are finally demonstrated by numerical results.
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GlobalSIP - Transmitter optimization for MISO system with service integration of Multicasting and confidential broadcasting
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017Co-Authors: Shiyu Chen, Zhi Chen, Weidong MeiAbstract:This paper considers a two-user multiple-input single-output Gaussian broadcast channel model with two sorts of information transfer, i.e., Multicasting and confidential broadcasting. Specifically, three service Messages are combined at the transmitter. The transmitter sends a Multicast Message to both users, and a confidential Message to each user which is kept perfectly secret from the other user. Our goal is to jointly design the optimal input covariances for the Multicast Message and the two confidential Messages, such that the secrecy capacity region is maximized. This problem can be formulated as a secrecy rate maximization (SRM) problem with the quality of Multicast service constraint and the quality of confidential service constraint. This SRM problem is nonconvex by nature. To solve it, we reveal its hidden convexity and transform the original SRM problem into a semidefinite programming problem. Furthermore, we prove that the optimal input covariance matrices of the Multicast Message and the two confidential Messages are always with rank one, which implies the optimality of beamforming. Besides, we show that the arithmetic complexity of our proposed method is polynomial with regard to the dimension of the optimization variables. Numerical results are finally presented to show the efficacy of our proposed method.
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Secrecy Capacity Region Maximization in Gaussian MISO Channels With Integrated Services
IEEE Signal Processing Letters, 2016Co-Authors: Weidong Mei, Zhi Chen, Jun FangAbstract:This letter considers a two-receiver multiple-input single-output Gaussian broadcast channel model with integrated services. Specifically, two sorts of service Messages are combined and served simultaneously: one Multicast Message intended for both receivers and one confidential Message intended for only one receiver. The confidential Message is kept perfectly secure from the unauthorized receiver. Our goal is to jointly design the input covariances for the Multicast Message and confidential Message, such that the secrecy capacity region is maximized. This secrecy capacity region maximization (SCRM) problem is a nonconvex vector maximization problem. To deal with this issue, we reformulate the SCRM problem into a provably equivalent scalar optimization problem and propose a searching method to find its overall Pareto optimal points. Further, for implementation efficiency, transmit beamforming is proved to be Pareto optimal. However, since the two service Messages are coupled in our optimization problem, it is difficult to deduce closed-form expressions of the Pareto optimal beamformers. A suboptimal transmit design is accordingly proposed to analytically obtain beamformers for both service Messages. Numerical results illustrate that the performance gap between the Pareto optimal design and our proposal is negligible.
David E Bakken - One of the best experts on this subject based on the ideXlab platform.
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evaluating Multicast Message authentication protocols for use in wide area power grid data delivery services
Hawaii International Conference on System Sciences, 2012Co-Authors: Carl Hauser, Thanigainathan Manivannan, David E BakkenAbstract:Modern computer communication technologies make it possible to create very flexible Data delivery service (DDS) design that can efficiently meet the quality-of-service needs of a wide variety of power system control and monitoring applications, some which only become possible with better communications. One aspect of the smart grid is that multiple applications will use data from each location. Furthermore, the use of the data for important power grid control functions requires each Message's source be authenticated, leading to the need for Multicast Message authentication. All known Multicast Message authentication approaches carry trade-offs between quality-of-service (QoS) aspects such as added latency, computational cost, and the precise authentication guarantees they afford. This paper surveys several Multicast authentication approaches for use in a power grid DDS based on an experimental evaluation of their latency and computational costs and an assessment of the appropriateness of their authentication guarantees for use in power grid applications.
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HICSS - Evaluating Multicast Message Authentication Protocols for Use in Wide Area Power Grid Data Delivery Services
2012 45th Hawaii International Conference on System Sciences, 2012Co-Authors: Carl Hauser, Thanigainathan Manivannan, David E BakkenAbstract:Modern computer communication technologies make it possible to create very flexible Data delivery service (DDS) design that can efficiently meet the quality-of-service needs of a wide variety of power system control and monitoring applications, some which only become possible with better communications. One aspect of the smart grid is that multiple applications will use data from each location. Furthermore, the use of the data for important power grid control functions requires each Message's source be authenticated, leading to the need for Multicast Message authentication. All known Multicast Message authentication approaches carry trade-offs between quality-of-service (QoS) aspects such as added latency, computational cost, and the precise authentication guarantees they afford. This paper surveys several Multicast authentication approaches for use in a power grid DDS based on an experimental evaluation of their latency and computational costs and an assessment of the appropriateness of their authentication guarantees for use in power grid applications.
Chuan Huang - One of the best experts on this subject based on the ideXlab platform.
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ICASSP - Robust artificial-noise aided transmit design for multi-user MISO systems with integrated services
2016 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2016Co-Authors: Weidong Mei, Zhi Chen, Chuan HuangAbstract:This paper considers an optimal artificial noise (AN)-aided transmit design for multi-user MISO systems in the eyes of service integration. Specifically, two sorts of services are combined and served simultaneously: one Multicast Message intended for all receivers and one confidential Message intended for only one receiver. The confidential Message is kept perfectly secure from all the unauthorized receivers. This paper considers a general case of imperfect channel state information (CSI), aiming at a joint and robust design of the input covariances for the Multicast Message, confidential Message and AN, such that the worst-case secrecy rate region is maximized subject to the sum power constraint. To this end, we reveal its hidden convexity and transform the original worst-case robust secrecy rate maximization (SRM) problem into a sequence of semidefinite programming. Numerical results are presented to show the efficacy of our proposed method.
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ICC - Artificial-noise aided transmit design for outage constrained service integration
2016 IEEE International Conference on Communications (ICC), 2016Co-Authors: Weidong Mei, Zhi Chen, Chuan HuangAbstract:This paper considers an artificial noise (AN)-aided transmit design for multi-user MISO systems in the eyes of service integration. Specifically, we combine two sorts of services, and serve them simultaneously: one Multicast Message intended for all receivers and one confidential Message intended for only one authorized receiver. The confidential Message is kept perfectly secure from all the unauthorized receivers. Assuming imperfect channel state information (CSI) of unauthorized receivers at the transmitter, our goal is to jointly design the input covariances of the Multicast Message, confidential Message and AN such that the outage secrecy rate is maximized for a given outage probability, while keeping the outage probability of Multicast Message for each user below a certain threshold. Due to the intrinsical complexity of this problem, a safe and convex albeit suboptimal reformulation, based on two advanced convex restriction approaches, is applied to generate a tractable approximation for this problem. By this means, a computationally efficient lower bound on the outage secrecy rate can be determined. We also prove the feasibility of beamforming to achieve the obtained secrecy rate. Numerical results are presented to verify the efficacy of our proposed method.
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ICC Workshops - Artificial-noise aided transmit design for multi-user MISO systems with service integration and energy harvesting
2016 IEEE International Conference on Communications Workshops (ICC), 2016Co-Authors: Weidong Mei, Zhi Chen, Chuan HuangAbstract:This paper considers an artificial noise (AN)-aided transmit design for multi-user MISO systems in the eyes of service integration. Specifically, three sorts of services, i.e., Multicast Message transfer, confidential Message transfer and energy transfer, are combined and offered simultaneously. The confidential Message is kept perfectly secure from all receivers except an authorized receiver. Assuming that power splitting (PS) is employed at each receiver to decode information and harvest energy simultaneously, our goal is to jointly design the PS ratio for each receiver and the input covariances of the Multicast Message, confidential Message and AN such that the total transmit power consumption is minimized while satisfying given quality of service (QoS) constraints for the three sorts of services. Due to the intractability of this problem, a provably convergent semidefinite programming (SDP)-based algorithm is applied to solve this problem in an iterative fashion. Furthermore, we also give an approach to constructing a rank-one covariance matrix of the confidential Message from this algorithm. Finally, numerical results are presented to demonstrate the efficacy of our proposed scheme.
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PIMRC - Energy-efficient optimization for MISO Gaussian broadcast channel with integrated services
2016 IEEE 27th Annual International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), 2016Co-Authors: Weidong Mei, Zhi Chen, Chuan HuangAbstract:This paper considers an energy-efficient transmit design in a three-node MISO wiretap channel in the eyes of service integration. Specifically, we combine two sorts of services, and serve them simultaneously: one Multicast Message intended for both receivers and one confidential Message intended for only one authorized receiver. The confidential Message must be kept perfectly secure from the unauthorized receiver. Our goal is to jointly design the input covariance matrices of the Multicast Message and confidential Message such that the secrecy energy efficiency (SEE) is maximized, subject to the Multicast rate, secrecy rate and total transmit power constraints. Due to the nonconvexity of this problem, an equivalent parametric reformulation, based on the fractional programming theory, is proposed to recast this problem as a sequence of semidefinite programs. By this means, the maximum SEE can be found via a root search algorithm. Moreover, we also give an approach to constructing a rank-one optimal covariance matrix of the confidential Message from our proposed algorithm, which implies the feasibility of transmit beamforming to achieve the maximum SEE. Numerical results are finally presented to verify the efficacy of our proposed method.
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GlobalSIP - Artificial-noise aided transmit design for multi-user MISO systems with integrated services
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2015Co-Authors: Weidong Mei, Zhi Chen, Chuan HuangAbstract:This paper considers an optimal artificial noise (AN)-aided transmit design for multi-user MISO systems in the eyes of service integration. Specifically, we combine two sorts of services, and serve them simultaneously: one Multicast Message intended for all receivers and one confidential Message intended for only one receiver. The confidential Message is kept perfectly secure from all the unauthorized receivers. Our goal is to jointly design the optimal input covariances for the Multicast Message, confidential Message and AN, such that the achievable secrecy rate region is maximized subject to the sum power constraint. To this end, we exploit its hidden convexity and transform the original secrecy rate maximization (SRM) problem into a semidefinite programming. Furthermore, we prove that the optimal input covariance matrix of confidential Message is always with rank one, which implies the optimality of beamforming. Numerical results are presented to show the efficacy of our proposed method.
Carl Hauser - One of the best experts on this subject based on the ideXlab platform.
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evaluating Multicast Message authentication protocols for use in wide area power grid data delivery services
Hawaii International Conference on System Sciences, 2012Co-Authors: Carl Hauser, Thanigainathan Manivannan, David E BakkenAbstract:Modern computer communication technologies make it possible to create very flexible Data delivery service (DDS) design that can efficiently meet the quality-of-service needs of a wide variety of power system control and monitoring applications, some which only become possible with better communications. One aspect of the smart grid is that multiple applications will use data from each location. Furthermore, the use of the data for important power grid control functions requires each Message's source be authenticated, leading to the need for Multicast Message authentication. All known Multicast Message authentication approaches carry trade-offs between quality-of-service (QoS) aspects such as added latency, computational cost, and the precise authentication guarantees they afford. This paper surveys several Multicast authentication approaches for use in a power grid DDS based on an experimental evaluation of their latency and computational costs and an assessment of the appropriateness of their authentication guarantees for use in power grid applications.
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HICSS - Evaluating Multicast Message Authentication Protocols for Use in Wide Area Power Grid Data Delivery Services
2012 45th Hawaii International Conference on System Sciences, 2012Co-Authors: Carl Hauser, Thanigainathan Manivannan, David E BakkenAbstract:Modern computer communication technologies make it possible to create very flexible Data delivery service (DDS) design that can efficiently meet the quality-of-service needs of a wide variety of power system control and monitoring applications, some which only become possible with better communications. One aspect of the smart grid is that multiple applications will use data from each location. Furthermore, the use of the data for important power grid control functions requires each Message's source be authenticated, leading to the need for Multicast Message authentication. All known Multicast Message authentication approaches carry trade-offs between quality-of-service (QoS) aspects such as added latency, computational cost, and the precise authentication guarantees they afford. This paper surveys several Multicast authentication approaches for use in a power grid DDS based on an experimental evaluation of their latency and computational costs and an assessment of the appropriateness of their authentication guarantees for use in power grid applications.