The Experts below are selected from a list of 37065 Experts worldwide ranked by ideXlab platform

Robert C. Qiu - One of the best experts on this subject based on the ideXlab platform.

  • cognitive radio network for the smart grid experimental system architecture control algorithms security and microgrid testbed
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang Zheng
    Abstract:

    This paper systematically investigates the novel idea of applying the next generation wireless technology, cognitive radio network, for the smart grid. In particular, system architecture, algorithms, and hardware testbed are studied. A microgrid testbed supporting both power flow and information flow is also proposed. Control strategies and security considerations are discussed. Furthermore, the concept of independent component analysis (ICA) in combination with the robust principal component analysis (PCA) technique is employed to recover data from the simultaneous smart meter wireless transmissions in the presence of strong wideband interference. The performance illustrates the gain of bringing the state of the art mathematics to smart grid.

  • cognitive radio network as wireless sensor network (I): Architecture, testbed, and experiment
    National Aerospace and Electronics Conference Proceedings of the IEEE, 2011
    Co-Authors: Jingzhi Yu, Michael Wicks, Kenneth Currie, Robert C. Qiu, Nan Guo, Changchun Zhang, Feng Lin, Zhen Hu, Lei Li
    Abstract:

    This paper explores the vision of a dual-use sensing/communication system based on cognitive radio network (CRN). The motivation of the paper is to push the convergence of sensing and communication systems into a unified cognitive network. The concept design of this sensing/communication system is presented along with potential functions and challenges. A through tree target detection using real data collected by CRN testbed is demonstrated. The CRN testbed will be built based on Rice WARP nodes. To further exploit the advantages of dynamic spectrum access and frequency diversity, multi-frequency signal, which is similar to OFDM signal, are employed to for detection experiment in the harsh radio environment. The experiment results illustrate the vision of employing a CRN as wireless sensor network.

  • towards a real time cognitive radio network testbed architecture hardware platform and application to smart grid
    2010 Fifth IEEE Workshop on Networking Technologies for Software Defined Radio Networks (SDR), 2010
    Co-Authors: Robert C. Qiu, Nan Guo, Zhe Chen, Yu Song, Peng Zhang, Husheng Li, Lifeng Lai
    Abstract:

    A real-time cognitive radio network testbed is being built. This is the first paper to capture the overall picture of this project. Project scope and philosophy, design architecture, hardware platform, and key algorithms are reported. The use of cognitive radio network for smart grid is for the first time proposed in this paper. This unique testbed is ideal for such purpose.

Gang Zheng - One of the best experts on this subject based on the ideXlab platform.

  • cognitive radio network for the smart grid experimental system architecture control algorithms security and microgrid testbed
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang Zheng
    Abstract:

    This paper systematically investigates the novel idea of applying the next generation wireless technology, cognitive radio network, for the smart grid. In particular, system architecture, algorithms, and hardware testbed are studied. A microgrid testbed supporting both power flow and information flow is also proposed. Control strategies and security considerations are discussed. Furthermore, the concept of independent component analysis (ICA) in combination with the robust principal component analysis (PCA) technique is employed to recover data from the simultaneous smart meter wireless transmissions in the presence of strong wideband interference. The performance illustrates the gain of bringing the state of the art mathematics to smart grid.

Zhen Hu - One of the best experts on this subject based on the ideXlab platform.

  • cognitive radio network for the smart grid experimental system architecture control algorithms security and microgrid testbed
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang Zheng
    Abstract:

    This paper systematically investigates the novel idea of applying the next generation wireless technology, cognitive radio network, for the smart grid. In particular, system architecture, algorithms, and hardware testbed are studied. A microgrid testbed supporting both power flow and information flow is also proposed. Control strategies and security considerations are discussed. Furthermore, the concept of independent component analysis (ICA) in combination with the robust principal component analysis (PCA) technique is employed to recover data from the simultaneous smart meter wireless transmissions in the presence of strong wideband interference. The performance illustrates the gain of bringing the state of the art mathematics to smart grid.

  • cognitive radio network as wireless sensor network (II): Security consideration
    Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON), 2011
    Co-Authors: Zhen Hu, Jingzhi Yu, Michael Wicks, Changchun Zhang, Kenneth Currie
    Abstract:

    This is the second paper in a series of using cognitive radio network as wireless sensor network. The motivation of the paper is to push the convergence of radar and communication systems into a unified cognitive network. This paper studies this vision from a secure point of view. We propose two methods for robust spectrum sensing in the same framework of cognitive radio network. The first method is based on robust principal component analysis (PCA), to separate spectrum sensing results into the low rank signal matrix and the sparse attack matrix. Using sparse attack cancellation in least squares, the second method iteratively estimates the relative transmitted power of primary user under the threats of attackers. Then the relative transmitted power of primary user can be calculated from the recovered signal matrix. Both two methods can detect the sparse compromised cognitive radio nodes and effectively obtain the relative transmitted power.

  • cognitive radio network as wireless sensor network (I): Architecture, testbed, and experiment
    National Aerospace and Electronics Conference Proceedings of the IEEE, 2011
    Co-Authors: Jingzhi Yu, Michael Wicks, Kenneth Currie, Robert C. Qiu, Nan Guo, Changchun Zhang, Feng Lin, Zhen Hu, Lei Li
    Abstract:

    This paper explores the vision of a dual-use sensing/communication system based on cognitive radio network (CRN). The motivation of the paper is to push the convergence of sensing and communication systems into a unified cognitive network. The concept design of this sensing/communication system is presented along with potential functions and challenges. A through tree target detection using real data collected by CRN testbed is demonstrated. The CRN testbed will be built based on Rice WARP nodes. To further exploit the advantages of dynamic spectrum access and frequency diversity, multi-frequency signal, which is similar to OFDM signal, are employed to for detection experiment in the harsh radio environment. The experiment results illustrate the vision of employing a CRN as wireless sensor network.

Nan Guo - One of the best experts on this subject based on the ideXlab platform.

  • cognitive radio network for the smart grid experimental system architecture control algorithms security and microgrid testbed
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang Zheng
    Abstract:

    This paper systematically investigates the novel idea of applying the next generation wireless technology, cognitive radio network, for the smart grid. In particular, system architecture, algorithms, and hardware testbed are studied. A microgrid testbed supporting both power flow and information flow is also proposed. Control strategies and security considerations are discussed. Furthermore, the concept of independent component analysis (ICA) in combination with the robust principal component analysis (PCA) technique is employed to recover data from the simultaneous smart meter wireless transmissions in the presence of strong wideband interference. The performance illustrates the gain of bringing the state of the art mathematics to smart grid.

  • cognitive radio network as wireless sensor network (I): Architecture, testbed, and experiment
    National Aerospace and Electronics Conference Proceedings of the IEEE, 2011
    Co-Authors: Jingzhi Yu, Michael Wicks, Kenneth Currie, Robert C. Qiu, Nan Guo, Changchun Zhang, Feng Lin, Zhen Hu, Lei Li
    Abstract:

    This paper explores the vision of a dual-use sensing/communication system based on cognitive radio network (CRN). The motivation of the paper is to push the convergence of sensing and communication systems into a unified cognitive network. The concept design of this sensing/communication system is presented along with potential functions and challenges. A through tree target detection using real data collected by CRN testbed is demonstrated. The CRN testbed will be built based on Rice WARP nodes. To further exploit the advantages of dynamic spectrum access and frequency diversity, multi-frequency signal, which is similar to OFDM signal, are employed to for detection experiment in the harsh radio environment. The experiment results illustrate the vision of employing a CRN as wireless sensor network.

  • towards a real time cognitive radio network testbed architecture hardware platform and application to smart grid
    2010 Fifth IEEE Workshop on Networking Technologies for Software Defined Radio Networks (SDR), 2010
    Co-Authors: Robert C. Qiu, Nan Guo, Zhe Chen, Yu Song, Peng Zhang, Husheng Li, Lifeng Lai
    Abstract:

    A real-time cognitive radio network testbed is being built. This is the first paper to capture the overall picture of this project. Project scope and philosophy, design architecture, hardware platform, and key algorithms are reported. The use of cognitive radio network for smart grid is for the first time proposed in this paper. This unique testbed is ideal for such purpose.

Zhe Chen - One of the best experts on this subject based on the ideXlab platform.

  • cognitive radio network: architecture, algorithms, and testbed
    2020
    Co-Authors: Zhe Chen
    Abstract:

    cognitive radio has been put forward in recent years to make an efficient use of the scarce radio frequency spectrum. However, the system architecture of cognitive radio was not defined. Moreover, to our best knowledge, no true real-time cognitive radio system nor cognitive radio network had been demonstrated. It is necessary to build a large-scale cognitive radio network test-bed. A cognitive radio network testbed will not only verify concepts, algorithms, and protocols for cognitive radio and cognitive radio network, but also identify practical problems for future research. In this dissertation, an architecture for cognitive radio systems, an architecture for cognitive radio network testbeds, and a design for the nodes of cognitive radio network testbeds, are proposed. The response delay is defined and the minimum response delays in hardware platforms are measured. Channel state prediction is proposed to help reduce the negative impact of the response delay. Moreover, algorithms for spectrum sensing, cooperative spectrum sensing, channel state prediction, and cooperative channel state prediction, are proposed and tested using measured real-world data. An algorithm for spectrum auction is also proposed and simulated. Experimental results show that the proposed algorithms are effective. In addition, a proposed algorithm for spectrum sensing is implemented and demonstrated on a hardware platform in real time. To our best knowledge, this is the first time that real-time spectrum sensing with controllable primary user devices is demonstrated. With the proposed architectures, algorithms, and design, a large-scale cognitive radio network testbed can be built further.

  • cognitive radio network for the smart grid experimental system architecture control algorithms security and microgrid testbed
    IEEE Transactions on Smart Grid, 2011
    Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang Zheng
    Abstract:

    This paper systematically investigates the novel idea of applying the next generation wireless technology, cognitive radio network, for the smart grid. In particular, system architecture, algorithms, and hardware testbed are studied. A microgrid testbed supporting both power flow and information flow is also proposed. Control strategies and security considerations are discussed. Furthermore, the concept of independent component analysis (ICA) in combination with the robust principal component analysis (PCA) technique is employed to recover data from the simultaneous smart meter wireless transmissions in the presence of strong wideband interference. The performance illustrates the gain of bringing the state of the art mathematics to smart grid.

  • Building a cognitive radio network testbed
    2011 Proceedings of IEEE Southeastcon, 2011
    Co-Authors: Zhe Chen
    Abstract:

    cognitive radio has been put forward to make efficient use of scarce radio frequency spectrum. A testbed for cognitive radio can not only verify concepts, algorithms, and protocols, but also dig out more practical problems for future research. However, to our best knowledge, an authentic real-time cognitive radio system has never been demonstrated. In order to build a cognitive radio network testbed, four popular commercial off-the-shelf hardware platforms are investigated. Unfortunately, none of them meets our needs. Thus, an architecture of the motherboard and a functional architecture for nodes of cognitive radio network testbeds, as well as an architecture for cognitive radio network testbeds, are proposed. With the proposed architectures, a cognitive radio network testbed is being built at Tennessee Technological University.

  • towards a real time cognitive radio network testbed architecture hardware platform and application to smart grid
    2010 Fifth IEEE Workshop on Networking Technologies for Software Defined Radio Networks (SDR), 2010
    Co-Authors: Robert C. Qiu, Nan Guo, Zhe Chen, Yu Song, Peng Zhang, Husheng Li, Lifeng Lai
    Abstract:

    A real-time cognitive radio network testbed is being built. This is the first paper to capture the overall picture of this project. Project scope and philosophy, design architecture, hardware platform, and key algorithms are reported. The use of cognitive radio network for smart grid is for the first time proposed in this paper. This unique testbed is ideal for such purpose.