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6篇 您的检索式:作者名="Fengzhong Qu"
    题名 作者 年代 出处 被引量
1A Survey of Ranging Algorithms and Localization Schemes in Underwater Acoustic Sensor Network显示文摘Underwater Acoustic Sensor Network(UASN) has attracted significant attention because of its great influence on ocean exploration and monitoring. On account of the unique characteristics of underwater environment, localization, as one of the fundamental tasks in UASNs, is a more challenging work than in terrestrial sensor networks. A survey of the ranging algorithms and the network architectures varied with different applications in UASNs is provided in this paper. Algorithms used to estimate the coordinates of the UASNs nodes are classified into two categories: rangebased and range-free. In addition, we analyze the architectures of UASNs based on different applications, and compare their performances from the aspects of communication cost, accuracy, coverage and so on. Open research issues which would affect the accuracy of localization are also discussed, including MAC protocols, sound speed and time synchronization.QU Fengzhong WANG Shiyuan WU Zhihui LIU Zubin 2016China Communications2016,13,3:4
2Intelligent transportation space: vehicles, traffic, communications and beyond 显示文摘QU Fengzhong WANG Feiyue YANG Liuqing 2010IEEE Communication Magazine2010,48,1:1
3Intelligent Transportation Spaces: Vehicles, Traffic, Communications,and Beyond显示文摘Qu Fengzhong Wang Feiyue Yang Liuqing 2010IEEE Communications Magazine2010,,11:1
4Modulation Selection from a Battery Power Efficiency Perspective显示文摘DUAN Dongliang QU Fengzhong YANG Liuqing 2010IEEE Transactions on Communications2010,58,:1
5Robust Transceiver Optimization for Multi-Antenna Multi-Carrier Multi-Hop Communications显示文摘Multi-hop communications are becoming more and more important due to its flexibility and potential to improve communication coverage and quality. In this paper, we discuss the robust transceiver optimization for multi-hop amplify-and-forward multiple-input multiple-output(MIMO) orthogonal frequency division multiplexing(OFDM) systems. In general, we consider a three-dimensional robust beamforming design, i.e.,frequency, spatial and relay domains. With inevitable channel estimation errors, in our work both weighted mean square error(MSE) minimization and minimizing maximum MSE are adopted as the performance metrics to design robust transceivers. Following the Bayesian robust philosophy, a robust transceiver design is proposed. The design is based on convex optimization, and the involved optimization variables are optimized alternatively. The proposed transceiver optimization algorithms can be applied to the network with arbitrary hops, arbitrary antennas and arbitrary subcarriers. At the end of this paper, the performance advantages of the propose design have been assessed by the numerical results.QU Fengzhong ZHANG Zhujun WU Zhihui WU Yezhou 2016China Communications2016,13,4:0
6Data Concurrent Transmission MAC Protocol for Application Oriented Underwater Acoustic Sensor Networks显示文摘With the increasing demand for marine exploration, underwater acoustic sensor networks (UASNs) are prone to have the characteristics of large-scale, long term monitoring, and high data traffic load. Underwater media access control (MAC) protocols, which allow multiple users to share the common medium fairly and efficiently, are essential for the performance of UASNs. However, the design of MAC protocols is confronted with the challenges of spatial unfairness, data eruption, and low energy efficiency. In this paper, we propose a novel data concurrent transmission (DCT) MAC protocol, which is able to exploit long propagation delay and conduct concurrent transmission. Specifically, we present the theoretical performance analysis of the proposed MAC protocol in detail and give an analytical solution of the success concurrent transmission probability between nodes. In addition, simulation results are provided to demonstrate that our proposed protocol is appropriate for UASNs and can significantly improve the performance in terms of network throughput and energy consumption. Finally, we give some typical future applications of UASNs and discuss the demands on MAC protocol design.Xiaoxiao Zhuo Hong Yang Meiyan Liu Yan Wei Guanding Yu Fengzhong Qu 2022China Communications2022,19,10:0
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