The Experts below are selected from a list of 81504 Experts worldwide ranked by ideXlab platform
Hai Jiang - One of the best experts on this subject based on the ideXlab platform.
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cognitive non orthogonal multiple access with cooperative relaying a new wireless frontier for 5g spectrum sharing
IEEE Communications Magazine, 2018Co-Authors: Jian Chen, Zhiguo Ding, Hai JiangAbstract:Two emerging technologies toward 5G wireless networks, namely non-orthogonal multiple access (NOMA) and cognitive radio (CR), will provide more efficient utilization of wireless spectrum in the future. In this article, we investigate the integration of NOMA with CR into a Holistic System, namely a cognitive NOMA network, for more intelligent spectrum sharing. Design principles of cognitive NOMA networks are perfectly aligned to functionality requirements of 5G wireless networks, such as high spectrum efficiency, massive connectivity, low latency, and better fairness. Three different cognitive NOMA architectures are presented, including underlay NOMA networks, overlay NOMA networks, and CR-inspired NOMA networks. To address inter-network and intra-network interference, which largely degrade the performance of cognitive NOMA networks, cooperative relaying strategies are proposed. For each cognitive NOMA architecture, our proposed cooperative relaying strategy shows its potential to significantly lower outage probabilities. We discuss open challenges and future research directions on implementation of cognitive NOMA networks.
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Cognitive Non-Orthogonal Multiple Access with Cooperative Relaying: A New Wireless Frontier for 5G Spectrum Sharing
IEEE Communications Magazine, 2018Co-Authors: Lu Lv, Qiang Ni, Zhiguo Ding, Jian Chen, Hai JiangAbstract:Two emerging technologies towards 5G wireless networks, namely non-orthogonal multiple access (NOMA) and cognitive radio (CR), will provide more efficient utilization of wireless spectrum in the future. In this article, we investigate the integration of NOMA with CR into a Holistic System, namely cognitive NOMA network, for more intelligent spectrum sharing. Design principles of cognitive NOMA networks are perfectly aligned to functionality requirements of 5G wireless networks, such as high spectrum efficiency, massive connectivity, low latency, and better fairness. Three different cognitive NOMA architectures are presented, including underlay NOMA networks, overlay NOMA networks, and CR-inspired NOMA networks. To address inter- and intra-network interference which largely degrade the performance of cognitive NOMA networks, cooperative relaying strategies are proposed. For each cognitive NOMA architecture, our proposed cooperative relaying strategy shows its potential to significantly lower outage probabilities. Furthermore, we discuss open challenges and future research directions on implementation of cognitive NOMA networks.
Andreas Jossen - One of the best experts on this subject based on the ideXlab platform.
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Power Flow Distribution Strategy for Improved Power Electronics Energy Efficiency in Battery Storage Systems: Development and Implementation in a Utility-Scale System
Energies, 2018Co-Authors: Michael Schimpe, Julian Paß, Holger Hesse, C Piesch, Stefan Ritter, Andreas JossenAbstract:Utility-scale battery storage Systems typically consist of multiple smaller units contributing to the overall power dispatch of the System. Herein, the power distribution among these units is analyzed and optimized to operate the System with increased energy efficiency. To improve the real-life storage operation, a Holistic System model for battery storage Systems has been developed that enables a calculation of the energy efficiency. A utility-scale Second-Life battery storage System with a capacity of 3.3 MWh/3 MW is operated and evaluated in this work. The System is in operation for the provision of primary control reserve in combination with intraday trading for controlling the battery state of charge. The simulation model is parameterized with the System data. Results show that losses in power electronics dominate. An operational strategy improving the energy efficiency through an optimized power flow distribution within the storage System is developed. The power flow distribution strategy is based on the reduction of the power electronics losses at no-load/partial-load by minimizing their in-operation time. The simulation derived power flow distribution strategy is implemented in the real-life storage System. Field-test measurements and analysis prove the functionality of the power flow distribution strategy and reveal the reduction of the energy throughput of the units by 7%, as well as a significant reduction of energy losses in the units by 24%. The cost savings for electricity over the System’s lifetime are approximated to 4.4% of its investment cost.
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lithium ion battery storage for the grid a review of stationary battery storage System design tailored for applications in modern power grids
Energies, 2017Co-Authors: Holger C Hesse, Michael Schimpe, Daniel Kucevic, Andreas JossenAbstract:Battery energy storage Systems have gained increasing interest for serving grid support in various application tasks. In particular, Systems based on lithium-ion batteries have evolved rapidly with a wide range of cell technologies and System architectures available on the market. On the application side, different tasks for storage deployment demand distinct properties of the storage System. This review aims to serve as a guideline for best choice of battery technology, System design and operation for lithium-ion based storage Systems to match a specific System application. Starting with an overview to lithium-ion battery technologies and their characteristics with respect to performance and aging, the storage System design is analyzed in detail based on an evaluation of real-world projects. Typical storage System applications are grouped and classified with respect to the challenges posed to the battery System. Publicly available modeling tools for technical and economic analysis are presented. A brief analysis of optimization approaches aims to point out challenges and potential solution techniques for System sizing, positioning and dispatch operation. For all areas reviewed herein, expected improvements and possible future developments are highlighted. In order to extract the full potential of stationary battery storage Systems and to enable increased profitability of Systems, future research should aim to a Holistic System level approach combining not only performance tuning on a battery cell level and careful analysis of the application requirements, but also consider a proper selection of storage sub-components as well as an optimized System operation strategy.
Jian Chen - One of the best experts on this subject based on the ideXlab platform.
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cognitive non orthogonal multiple access with cooperative relaying a new wireless frontier for 5g spectrum sharing
IEEE Communications Magazine, 2018Co-Authors: Jian Chen, Zhiguo Ding, Hai JiangAbstract:Two emerging technologies toward 5G wireless networks, namely non-orthogonal multiple access (NOMA) and cognitive radio (CR), will provide more efficient utilization of wireless spectrum in the future. In this article, we investigate the integration of NOMA with CR into a Holistic System, namely a cognitive NOMA network, for more intelligent spectrum sharing. Design principles of cognitive NOMA networks are perfectly aligned to functionality requirements of 5G wireless networks, such as high spectrum efficiency, massive connectivity, low latency, and better fairness. Three different cognitive NOMA architectures are presented, including underlay NOMA networks, overlay NOMA networks, and CR-inspired NOMA networks. To address inter-network and intra-network interference, which largely degrade the performance of cognitive NOMA networks, cooperative relaying strategies are proposed. For each cognitive NOMA architecture, our proposed cooperative relaying strategy shows its potential to significantly lower outage probabilities. We discuss open challenges and future research directions on implementation of cognitive NOMA networks.
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Cognitive Non-Orthogonal Multiple Access with Cooperative Relaying: A New Wireless Frontier for 5G Spectrum Sharing
IEEE Communications Magazine, 2018Co-Authors: Lu Lv, Qiang Ni, Zhiguo Ding, Jian Chen, Hai JiangAbstract:Two emerging technologies towards 5G wireless networks, namely non-orthogonal multiple access (NOMA) and cognitive radio (CR), will provide more efficient utilization of wireless spectrum in the future. In this article, we investigate the integration of NOMA with CR into a Holistic System, namely cognitive NOMA network, for more intelligent spectrum sharing. Design principles of cognitive NOMA networks are perfectly aligned to functionality requirements of 5G wireless networks, such as high spectrum efficiency, massive connectivity, low latency, and better fairness. Three different cognitive NOMA architectures are presented, including underlay NOMA networks, overlay NOMA networks, and CR-inspired NOMA networks. To address inter- and intra-network interference which largely degrade the performance of cognitive NOMA networks, cooperative relaying strategies are proposed. For each cognitive NOMA architecture, our proposed cooperative relaying strategy shows its potential to significantly lower outage probabilities. Furthermore, we discuss open challenges and future research directions on implementation of cognitive NOMA networks.
Zhiguo Ding - One of the best experts on this subject based on the ideXlab platform.
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cognitive non orthogonal multiple access with cooperative relaying a new wireless frontier for 5g spectrum sharing
IEEE Communications Magazine, 2018Co-Authors: Jian Chen, Zhiguo Ding, Hai JiangAbstract:Two emerging technologies toward 5G wireless networks, namely non-orthogonal multiple access (NOMA) and cognitive radio (CR), will provide more efficient utilization of wireless spectrum in the future. In this article, we investigate the integration of NOMA with CR into a Holistic System, namely a cognitive NOMA network, for more intelligent spectrum sharing. Design principles of cognitive NOMA networks are perfectly aligned to functionality requirements of 5G wireless networks, such as high spectrum efficiency, massive connectivity, low latency, and better fairness. Three different cognitive NOMA architectures are presented, including underlay NOMA networks, overlay NOMA networks, and CR-inspired NOMA networks. To address inter-network and intra-network interference, which largely degrade the performance of cognitive NOMA networks, cooperative relaying strategies are proposed. For each cognitive NOMA architecture, our proposed cooperative relaying strategy shows its potential to significantly lower outage probabilities. We discuss open challenges and future research directions on implementation of cognitive NOMA networks.
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Cognitive Non-Orthogonal Multiple Access with Cooperative Relaying: A New Wireless Frontier for 5G Spectrum Sharing
IEEE Communications Magazine, 2018Co-Authors: Lu Lv, Qiang Ni, Zhiguo Ding, Jian Chen, Hai JiangAbstract:Two emerging technologies towards 5G wireless networks, namely non-orthogonal multiple access (NOMA) and cognitive radio (CR), will provide more efficient utilization of wireless spectrum in the future. In this article, we investigate the integration of NOMA with CR into a Holistic System, namely cognitive NOMA network, for more intelligent spectrum sharing. Design principles of cognitive NOMA networks are perfectly aligned to functionality requirements of 5G wireless networks, such as high spectrum efficiency, massive connectivity, low latency, and better fairness. Three different cognitive NOMA architectures are presented, including underlay NOMA networks, overlay NOMA networks, and CR-inspired NOMA networks. To address inter- and intra-network interference which largely degrade the performance of cognitive NOMA networks, cooperative relaying strategies are proposed. For each cognitive NOMA architecture, our proposed cooperative relaying strategy shows its potential to significantly lower outage probabilities. Furthermore, we discuss open challenges and future research directions on implementation of cognitive NOMA networks.
Mario Herrero - One of the best experts on this subject based on the ideXlab platform.
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a decision support System for smallholder campesino maize cattle production Systems of the toluca valley in central mexico part i integrating biological and socio economic models into a Holistic System
Agricultural Systems, 2003Co-Authors: O A Castelanortega, R H Fawcett, Carlos Manuel Arriagajordan, Mario HerreroAbstract:Abstract The objective of this work was to develop a Decision-Support System (DSS) in order to support the decision making process by campesino farmers of Central Mexico. Two biological models, one socio-economic model and a survey database form the DSS. The CERES-Maize model simulated the yield response of three local land-races of maize to different management Systems. The second biological model, a cow model (dynamic hybrid model), was used to simulate alternative feeding Systems. A multi-period mathematical programming model integrated the outputs of the previous models with the survey database. This model was used to find the optimal combination of resources and technologies that maximised farmers’ income. This model consists of 15,698 structural columns and 612 rows. The DSS successfully reproduced the functioning of the farming System's main components. More importantly, it simulated the complex interactions observed between the farmers and their crops and cattle, including traditional maize management practices.