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| 1 | 基于轻量级深度神经网络的电磁信号调制识别技术显示文摘针对6G时代将会是移动通信与人工智能紧密结合的时代,产生数量庞大的边缘智能信号处理节点的趋势,提出了一种可部署于资源受限的边缘设备上的高效智能电磁信号识别模型。首先,通过绘制电磁信号的星座图将电磁信号具象为二维图像,并根据归一化点密度对星座图上色以实现特征增强;然后,使用二值化深度神经网络对其进行识别,在保证识别准确率的同时明显降低了模型存储开销以及计算开销。采用电磁信号调制识别问题进行验证,实验选取常用的8种数字调制信号,选择加性高斯白噪声为信道环境。实验结果表明,所提方案可以在信噪比为-6~6 d B的噪声条件下获得96.1%的综合识别率,网络模型大小仅为166 KB,部署于树莓派4B的执行时间为290 ms,相比于同规模的全精度网络,准确率提升了0.6%,模型缩减到1/26.16,运行时间缩减到1/2.37。 | 张思成 林云 涂涯 Shiwen Mao | 2020 | 通信学报2020，41，11： | 36 |
| 2 | Large-scale real-world radio signal recognition with deep learning显示文摘In the past ten years, many high-quality datasets have been released to support the rapid development of deep learning in the fields of computer vision, voice, and natural language processing. Nowadays, deep learning has become a key research component of the Sixth-Generation wireless systems(6G) with numerous regulatory and defense applications. In order to facilitate the application of deep learning in radio signal recognition, in this work, a large-scale real-world radio signal dataset is created based on a special aeronautical monitoring system-Automatic Dependent Surveillance-Broadcast(ADS-B). This paper makes two main contributions. First, an automatic data collection and labeling system is designed to capture over-the-air ADS-B signals in the open and real-world scenario without human participation. Through data cleaning and sorting, a high-quality dataset of ADS-B signals is created for radio signal recognition. Second, we conduct an in-depth study on the performance of deep learning models using the new dataset, as well as comparison with a recognition benchmark using machine learning and deep learning methods.Finally, we conclude this paper with a discussion of open problems in this area. | Ya TU Yun LIN Haoran ZHA Ju ZHANG Yu WANG Guan GUI Shiwen MAO | 2022 | Chinese Journal of Aeronautics2022，35，9： | 9 |
| 3 | Hemorrhagic Fever with Renal Syndrome — Liaoning Province, China, 1999−2018显示文摘Summary What is already known on this topic?Hemorrhagic fever with renal syndrome(HFRS)is endemic in Liaoning Province.Both Seoul and Hantaan virus are circulating in rodents,and epidemic outbreaks and sporadic cases have been recorded every year since the disease was recognized. | Cui Shang Yingwei Sun Qiangling Yin Xiaoxia Huang Xuesheng Liu Quanfu Zhang Lingling Mao Chuan Li Aqian Li Qin Wang Lina Sun Mifang Liang Shiwen Wang Dexin Li Jiandong Li | 2020 | China CDC weekly2020，2，20： | 6 |
| 4 | Internet Multimedia Traffic Classification from QoS Perspective Using Semi-Supervised Dictionary Learning Models显示文摘To address the issue of finegrained classification of Internet multimedia traffic from a Quality of Service(QoS) perspective with a suitable granularity, this paper defines a new set of QoS classes and presents a modified K-Singular Value Decomposition(K-SVD) method for multimedia identification. After analyzing several instances of typical Internet multimedia traffic captured in a campus network, this paper defines a new set of QoS classes according to the difference in downstream/upstream rates and proposes a modified K-SVD method that can automatically search for underlying structural patterns in the QoS characteristic space. We define bagQoS-words as the set of specific QoS local patterns, which can be expressed by core QoS characteristics. After the dictionary is constructed with an excess quantity of bag-QoSwords, Locality Constrained Feature Coding(LCFC) features of QoS classes are extracted. By associating a set of characteristics with a percentage of error, an objective function is formulated. In accordance with the modified K-SVD, Internet multimedia traffic can be classified into a corresponding QoS class with a linear Support Vector Machines(SVM) clas-sifier. Our experimental results demonstrate the feasibility of the proposed classification method. | Zaijian Wang Yuning Dong Shiwen Mao Xinheng Wang | 2017 | China Communications2017，14，10： | 2 |
| 5 | A cross-layer approach to channel assignment in wireless Ad Hoc networks显示文摘 | GONG M X MIDKIFF S F MAO SHIWEN | 2007 | Mobile Networks and Applications2007，12，1： | 1 |
| 6 | Muhipath video transport over Ad Hoc networks 显示文摘 | Mao Shiwen Lin Shunnan Wang Yao | 2005 | IEEE Wireless Communication2005，12，4： | 1 |
| 7 | MRTP:a multiflow real-time transport protocol for ad hoc networks显示文摘 | Mao Shiwen Bushmitch D Narayanan S | 2006 | IEEE Transactions on Multimedia2006，8，2： | 1 |
| 8 | Performance Evaluation of Cognitive Radios: Metrics, Utility Functions, and Methodology显示文摘 | ZHAO You ping MAO Shiwen NEEL J | 2009 | Proceedings of the IEEE2009，97，4： | 1 |
| 9 | RFHUI:an RFID based human-unmanned aerial vehicle interaction system in an indoor environment显示文摘In this paper,we present an RFID based human and Unmanned Aerial Vehicle(UAV)Interaction system,termed RFHUI,to provide an intuitive and easy-to-operate method to navigate a UAV in an indoor environment.It relies on the passive Radio-Frequency IDentification(RFID)technology to precisely track the pose of a handheld controller,and then transfer the pose information to navigate the UAV.A prototype of the handheld controller is created by attaching three or more Ultra High Frequency(UHF)RFID tags to a board.A Commercial Off-The-Shelf(COTS)RFID reader with multiple antennas is deployed to collect the observations of the tags.First,the precise positions of all the tags can be obtained by our proposed method,which leverages a Bayesian filter and Channel State Information(CSI)phase measurements collected from the RFID reader.Second,we introduce a Singular Value Decomposition(SVD)based approach to obtain a 6-DoF(Degrees of Freedom)pose of the controller from estimated positions of the tags.Furthermore,the pose of the controller can be precisely tracked in a real-time manner,while the user moves the controller.Finally,control commands will be generated from the controller's pose and sent to the UAV for navigation.The performance of the RFHUI is evaluated by several experiments.The results show that it provides precise poses with 0.045m mean error in position and 2.5∘mean error in orientation for the controller,and enables the controller to precisely and intuitively navigate the UAV in an indoor environment. | Jian Zhang Zhitao Yu Xiangyu Wang Yibo Lv Shiwen Mao Senthilkumar CG.Periaswamy Justin Patton Xuyu Wang | 2020 | Digital Communications and Networks2020，6，1： | 1 |
| 10 | Interference Alignment Improves the Capacity of OFDM Systems显示文摘 | Xu Yi Mao Shiwen Su Xin | 2015 | IEEE Transactions on Vehicular Technology2015，，： | 1 |
| 11 | On-demand rou-ting and channel assignment in multi-channel mobile AdHoc networks显示文摘 | Gong M X Midkiff S F Mao Shiwen | 2009 | Ad Hoc Networks2009，7，： | 1 |
| 12 | A Survey of Multimedia Big Data显示文摘Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services. In this paper, we present a survey and tutorial for multimedia big data. After discussing the characteristics of multimedia big data such as human-centricity, multimodality, heterogeneity, unprecedented volume, and so on, this paper provides an overview of the state-of-the-art of multimedia big data, reviews the latest related technologies, and discusses the technical challenges. We conclude this paper with a discussion of open problems and future directions. | Zaijian Wang Shiwen Mao Lingyun Yang Pingping Tang | 2018 | China Communications2018，15，1： | 1 |
| 13 | BeamStar:an edge-based approach to routing in wireless sensor networks显示文摘 | Mao Shiwen Hou Y T | 2007 | IEEE Transactions on Mobile Computing2007，6，11： | 1 |
| 14 | On-demand Routing and Channel Assignment in Multi-channel Mobile Ad Hoc Networks显示文摘 | Michelle X G Scott F M Mao Shiwen | 2009 | Ad Hoc Networks2009，7，1： | 1 |
| 15 | Big data:a survey显示文摘 | Chen Min Mao Shiwen Liu Yunhao | 2014 | Mobile Networks and Applications2014，19，2： | 1 |
| 16 | Muhipath video transport over Ad Hoc networks 显示文摘 | Mao Shiwen Lin Shunan Wang Yao | 2005 | Wireless Communications IEEE2005，12，4： | 1 |
| 17 | Editorial: Special issue on "next generation wireless communication technologies"显示文摘 | Tao Jiang Shiwen Mao Zhifeng Zhang Da Chen | 2016 | Digital Communications and Networks2016，2，4： | 1 |
| 18 | Routing for concur rent video sessions in ad hoc networks显示文摘 | Mao Shiwen Kompella S Hou Y T | 2006 | IEEE Transactions on Vehicular Technology2006，55，1： | 1 |
| 19 | On the Perform- ance of Distnbuted Polling Service-based Medium Access Control 显示文摘 | LI Yhan MAO Shiwen PANWAR S | 2008 | IEEE Transaction on Wireless Conmamication2008，7，11： | 1 |
| 20 | MRTP: a mul-tiflow real-time transport protocol for Ad Hoc networks显示文摘 | Mao Shiwen Dennis B Sathya N | 2006 | IEEE Trans on Multimedia2006，8，2： | 1 |
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