The Experts below are selected from a list of 120933 Experts worldwide ranked by ideXlab platform
Gang Zheng - One of the best experts on this subject based on the ideXlab platform.
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cognitive Radio Network for the smart grid experimental system architecture control algorithms security and microgrid testbed
IEEE Transactions on Smart Grid, 2011Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang ZhengAbstract: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.
Robert C. Qiu - One of the best experts on this subject based on the ideXlab platform.
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cognitive Radio Network for the smart grid experimental system architecture control algorithms security and microgrid testbed
IEEE Transactions on Smart Grid, 2011Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang ZhengAbstract: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.
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Cognitive Radio Network: architecture, algorithms, and testbed
2011Co-Authors: Robert C. Qiu, Zhe ChenAbstract: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.
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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), 2010Co-Authors: Robert C. Qiu, Nan Guo, Husheng Li, Zhe Chen, Yu Song, Peng Zhang, Lifeng LaiAbstract: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.
Yongsheng Zhang - One of the best experts on this subject based on the ideXlab platform.
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mobility management schemes at Radio Network layer for lte femtocells
Vehicular Technology Conference, 2009Co-Authors: Lan Wang, Yongsheng ZhangAbstract:Femtocell, a small cellular base station in home and small business environment, is an attractive solution for operators to improve indoor coverage and Network capacity in 3G Networks. However, there are technical problems due to its mass deployment. The paper presents a femtocell architecture for LTE and investigates different handover scenarios. Two mobility management schemes at Radio Network layer (RNL) are proposed and their signaling cost, complexity, standard impact and application scenarios are also discussed.
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VTC Spring - Mobility Management Schemes at Radio Network Layer for LTE Femtocells
VTC Spring 2009 - IEEE 69th Vehicular Technology Conference, 2009Co-Authors: Lan Wang, Yongsheng ZhangAbstract:Femtocell, a small cellular base station in home and small business environment, is an attractive solution for operators to improve indoor coverage and Network capacity in 3G Networks. However, there are technical problems due to its mass deployment. The paper presents a femtocell architecture for LTE and investigates different handover scenarios. Two mobility management schemes at Radio Network layer (RNL) are proposed and their signaling cost, complexity, standard impact and application scenarios are also discussed.
Zhe Chen - One of the best experts on this subject based on the ideXlab platform.
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cognitive Radio Network for the smart grid experimental system architecture control algorithms security and microgrid testbed
IEEE Transactions on Smart Grid, 2011Co-Authors: Robert C. Qiu, Raghuram Ranganathan, Shujie Hou, Nan Guo, Zhen Hu, Zhe Chen, Gang ZhengAbstract: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.
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Building a cognitive Radio Network testbed
2011 Proceedings of IEEE Southeastcon, 2011Co-Authors: Zhe ChenAbstract: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.
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Cognitive Radio Network: architecture, algorithms, and testbed
2011Co-Authors: Robert C. Qiu, Zhe ChenAbstract: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.
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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), 2010Co-Authors: Robert C. Qiu, Nan Guo, Husheng Li, Zhe Chen, Yu Song, Peng Zhang, Lifeng LaiAbstract: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.
M Jasberg - One of the best experts on this subject based on the ideXlab platform.
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static simulator for studying wcdma Radio Network planning issues
Vehicular Technology Conference, 1999Co-Authors: A Wacke, Kari Sipila, J Laihosteffens, M JasbergAbstract:A static Radio Network simulator for studying various topics of 3rd generation WCDMA Radio Network planning is presented. The simulator allows analyzing coverage, capacity and quality of service related issues. Input to the simulator is the Network scenario and the user information as a mobile station map. The uplink and downlink are separately analyzed and the outputs are presented in form of maps of best server, number of users, served traffic, SHO areas, AS size, SHO statistics for the area and for the users, Perch C/I plots. In the analysis, impact of the 3rd generations fast power control and soft(er) handover (SHO) possibility are taken into account by importing link level simulations into the analyses. The whole simulator is entirely based on Matlab(R) software.
