掲載種別：研究論文（学術雑誌）   出版者・発行元：Hindawi Limited  

The conventional matrix completion (MC) regularizes each singular value equally, and thus the rank cannot be well approximated, which greatly limits the flexibility and accuracy of MC usage. In this paper, a truncated MC algorithm using prior information to determine the threshold while generating the target rank is proposed for the wind turbine clutter suppression of weather radar. During the singular value shrinking process, an appropriate threshold is selected to obtain the optimal approximation of the sampling matrix. Specifically, the mean value of the diagonal element in the recovered weather matrix is calculated to improve the robustness of the recovery result effectively. Simulation results demonstrate that the proposed algorithm reduces the computational complexity as well as further improves the MC accuracy and realizes the effective suppression of the wind turbine clutter.

DOI： 10.1155/2021/8814415

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その他リンク： http://downloads.hindawi.com/journals/mpe/2021/8814415.xml

掲載種別：研究論文（学術雑誌）   出版者・発行元：Institution of Engineering and Technology (IET)  

DOI： 10.1049/cmu2.12062

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その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1049/cmu2.12062

掲載種別：研究論文（学術雑誌）   出版者・発行元：Institution of Engineering and Technology (IET)  

DOI： 10.1049/iet-com.2020.0378

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その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1049/iet-com.2020.0378

掲載種別：研究論文（学術雑誌）   出版者・発行元：Institute of Electrical and Electronics Engineers (IEEE)  

DOI： 10.23919/jcc.2020.10.019

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掲載種別：研究論文（学術雑誌）   出版者・発行元：IOP Publishing  

Abstract

The three-dimensional positioning of nodes is a major and basic problem in wireless sensor networks. It has an important application value in areas such as search and rescue, target tracking, disaster reduction and intelligent environment. This paper presents a three-dimensional four-point centroid location algorithm based on RSSI. Based on signal strength between unknown nodes and known nodes, a received signal strength indicator (RSSI) propagation model in shadow mode is established. The Gaussian model is employed to RSSI. The signal strength is rectified to obtain a more accurate ranging model. In a three-dimensional space, a reasonable detection point is selected, and the centroid iteration algorithm is used twice. The weighted centroid algorithm is utilized for the first time and the average centroid algorithm is used for the second time to find the target. The coordinates of the nodes realizes the three-dimensional spatial positioning of the unknown nodes. Through simulation experiments, the positioning algorithm has improved accuracy and stability compared with the least square method and weighted centroid algorithm.

DOI： 10.1088/1742-6596/1550/3/032022

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その他リンク： https://iopscience.iop.org/article/10.1088/1742-6596/1550/3/032022

掲載種別：研究論文（学術雑誌）   出版者・発行元：Elsevier BV  

DOI： 10.1016/j.phycom.2019.100985

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掲載種別：研究論文（学術雑誌）   出版者・発行元：Elsevier BV  

DOI： 10.1016/j.mri.2019.05.042

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掲載種別：研究論文（学術雑誌）   出版者・発行元：Institution of Engineering and Technology (IET)  

DOI： 10.1049/iet-com.2018.5228

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その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1049/iet-com.2018.5228

掲載種別：研究論文（学術雑誌）   出版者・発行元：Institute of Electrical and Electronics Engineers (IEEE)  

DOI： 10.23919/jcc.2019.06.012

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掲載種別：研究論文（学術雑誌）   出版者・発行元：Institute of Electrical and Electronics Engineers (IEEE)  

DOI： 10.1109/access.2019.2920149

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掲載種別：論文集(書籍)内論文   出版者・発行元：Springer Singapore  

DOI： 10.1007/978-981-13-2384-3_24

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掲載種別：研究論文（学術雑誌）   出版者・発行元：Hindawi Limited  

As a key technology in Long-Term Evolution-Advanced (LTE-A) mobile communication systems, heterogeneous cellular networks (HCNs) add low-power nodes to offload the traffic from macro cell and therefore improve system throughput performance. In this paper, we investigate a joint user association and resource allocation scheme for orthogonal frequency division multiple access- (OFDMA-) based downlink HCNs for maximizing the energy efficiency and optimizing the system resource. The algorithm is formulated as a nonconvex optimization, with dynamic circuit consumption, limited transmit power, and quality-of-service (QoS) constraints. As a nonlinear fractional problem, an iteration-based algorithm is proposed to decompose the problem into two subproblems, that is, user association and power allocation. For each iteration, we alternatively solve the two subproblems and obtain the optimal user association and power allocation strategies. Numerical results illustrate that the proposed iteration-based algorithm outperforms existing algorithms.

DOI： 10.1155/2018/7091512

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その他リンク： http://downloads.hindawi.com/journals/misy/2018/7091512.xml

掲載種別：研究論文（学術雑誌）   出版者・発行元：Elsevier BV  

DOI： 10.1016/j.phycom.2018.02.002

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掲載種別：研究論文（学術雑誌）   出版者・発行元：MDPI AG  

DOI： 10.3390/robotics6040030

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掲載種別：研究論文（学術雑誌）   出版者・発行元：Institution of Engineering and Technology (IET)  

DOI： 10.1049/iet-com.2017.0124

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その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1049/iet-com.2017.0124

掲載種別：研究論文（学術雑誌）   出版者・発行元：Hindawi Limited  

Cognitive radio (CR) is a promising solution to address the more and more congested radio spectrum. Cooperative relaying can provide a better transmission performance for the secondary user (SU), while the performance of the primary user (PU, also named licensed user) should be preferentially protected especially when there is misdetection probability. In this paper, in order to keep the PU away from outage caused by the interference from the SU under a certain signal-to-noise ratio (SNR), the maximum SNR for the SU can be derived by using the rate decaying factor (RDF). Then, based on the maximum channel gain and the maximum SNR, the outage probability is analyzed using decode-and-forward (DF) relaying and amplify-and-forward (AF) relaying schemes. Numerical results show that the outage probability decreases when the power allocation factor increases for DF strategy, while the outage probability has error floor when the power allocation factor increases for AF strategy. And the relaying scheme based on the maximum channel gain outperforms that based on the maximum SNR when the power allocation factor and detection probability are small, while the relaying scheme based on the maximum SNR outperforms that based on the maximum channel gain when the power allocation factor is large. What is more, AF relaying has better outage performance in the practical implementation.

DOI： 10.1155/2016/1051632

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その他リンク： http://downloads.hindawi.com/journals/misy/2016/1051632.xml

掲載種別：研究論文（学術雑誌）   出版者・発行元：Wiley  

DOI： 10.1002/dac.3099

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掲載種別：研究論文（学術雑誌）   出版者・発行元：Institute of Electrical and Electronics Engineers (IEEE)  

DOI： 10.1109/lwc.2015.2462346

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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：IEEE  

DOI： 10.1109/icsai.2014.7009380

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掲載種別：研究論文（学術雑誌）   出版者・発行元：Institution of Engineering and Technology (IET)  

DOI： 10.1049/iet-com.2014.0095

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その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1049/iet-com.2014.0095

掲載種別：研究論文（学術雑誌）   出版者・発行元：Institution of Engineering and Technology (IET)  

DOI： 10.1049/iet-smt.2013.0218

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その他リンク： https://onlinelibrary.wiley.com/doi/full-xml/10.1049/iet-smt.2013.0218

掲載種別：研究論文（学術雑誌）   出版者・発行元：Bentham Science Publishers Ltd.  

The efficiency of high speed packet access (HSPA) systems is mainly based on Packet Scheduling Schemewhich will be the key to influencing on the system performance and ensuring the service quality for the users. In thispaper, we introduce a three step packet scheduling scheme to provide quality of services (QoS) guaranteed for high speeduplink packet access. Then, we proposed an improved packet scheduling algorithm based on QoS parameter for mixedservice applications in order to meet the actual QoS needs of the different systems. This algorithm calculated thescheduling priority based on the comprehensive factors, including the queuing status of each user, QoS requirements andthe sum of speeds on each channel. The simulation results show that the performance efficiency of HSPA systemsemployed proposed algorithm is superior compared to the conventional PF and M-LWDF algorithm in average packetdrop and average cell throughput.

DOI： 10.2174/1874155x01408010092

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その他リンク： https://openmechanicalengineeringjournal.com/contents/volumes/V8/TOMEJ-8-92/TOMEJ-8-92.xml

掲載種別：研究論文（学術雑誌）   出版者・発行元：SAGE Publications  

Dynamic spectrum management is a key technology in cognitive wireless sensor network (C-WSN), in which spectrum sensing plays an important role. In this paper, we propose an improved approach as sparse learning via iterative minimization based on compressive sampling (CS-SLIM) for wideband spectrum detection. CS-SLIM can provide wideband spectrum detection with almost the same accuracy but a lower computational burden than that of SLIM. The measurement matrix and the computational complexity for CS-SLIM are discussed. Mean squared errors (MSEs) at various measurement samples are provided to demonstrate the performance of the proposed approach in sparse scenes. It is also proved that the algorithm is suitable for sparse signal reconstruction and wideband spectrum sensing in C-WSN.

DOI： 10.1155/2013/261953

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その他リンク： http://journals.sagepub.com/doi/full-xml/10.1155/2013/261953