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NaNA2018 Keynote 1: |
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Speaker:
Prof. Nirwan Ansari
Title:
Empowering Internet of Things from the Cloud to the Edge
Affiliation:
New Jersey Institute of Technology, America
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| Abstract: With the rapid development of Internet of Things (IoT), the traditional networking architecture in which data streams generated from distributed IoT devices are transmitted to the remote cloud via the Internet for further analysis is not scalable. A hierarchical computing model has thus been recently proposed to provision computing, storage and communication resources from the cloud to the edge to empower Internet of Things. In this talk, I will elicit the motivation, describe the proposed architecture and its scalability, illustrate how to leverage such architecture for big data applications, discuss some recent results, and present future challenges.
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Short bio:
Nirwan Ansari is Distinguished Professor of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT). He has also been a visiting (chair) professor at several universities.
Professor Ansari recently authored Green Mobile Networks: A Networking Perspective (IEEE-Wiley, 2017) with T. Han, and co-authored two other books. He has also (co-)authored more than 500 technical publications, over 250 published in widely cited journals/magazines. He has guest-edited a number of special issues covering various emerging topics in communications and networking. He has served on the editorial/advisory board of over ten journals including as Senior Technical Editor of IEEE Communications Magazine. His current research focuses on green communications and networking, cloud computing, and various aspects of broadband networks.
Professor Ansari was elected to serve in the IEEE Communications Society (ComSoc) Board of Governors as a member-at-large, has chaired some ComSoc technical and steering committees, has been serving in many committees such as the IEEE Fellow Committee, and has been actively organizing numerous IEEE International Conferences/Symposia/Workshops. He has frequently been delivering keynote addresses, distinguished lectures, tutorials, and invited talks. Some of his recognitions include IEEE Fellow, several Excellence in Teaching Awards, a few best paper awards, the NCE Excellence in Research Award, the ComSoc AHSN TC Technical Recognition Award, the IEEE TCGCC Distinguished Technical Achievement Recognition Award, the NJ Inventors Hall of Fame Inventor of the Year Award, the Thomas Alva Edison Patent Award, Purdue University Outstanding Electrical and Computer Engineer Award, and designation as a COMSOC Distinguished Lecturer. He has also been granted 36 U.S. patents.
He received a Ph.D. from Purdue University---West Lafayette, IN, an MSEE from the University of Michigan---Ann Arbor, MI, and a BSEE (summa cum laude with a perfect GPA) from NJIT---Newark, NJ.
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NaNA2018 Keynote 2: |
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Speaker:
Prof. Vincent Wong
Title:
Non-Orthogonal Multiple Access in 5G Wireless Networks
Affiliation:
University of British Columbia, Canada
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| Abstract:Non-orthogonal multiple access (NOMA) is a spectrally efficient multiple access technique, which has the potential to meet the rapidly increasing traffic demand of the fifth generation (5G) wireless networks. With NOMA, multiple users can be simultaneously served by the same base station via exploiting the power domain in addition to the time and frequency domains. However, by sharing the frequency channel and transmit power among the paired NOMA users, NOMA may not always achieve better performance than orthogonal multiple access (OMA). In this talk, the basic idea of NOMA transmission is discussed. For downlink NOMA transmission with dynamic traffic arrival for spatially random users, two variants of NOMA schemes, namely opportunistic NOMA and cooperative NOMA with full-duplex relaying, are proposed to enhance the stable throughput region, which is characterized by using tools from queuing theory and stochastic geometry. Results show that the sum rates of the proposed NOMA schemes over OMA are higher when users having more diverse target data rates are paired.
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Short bio:
Vincent Wong is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia, Vancouver, Canada. His research areas include protocol design, optimization, and resource management of communication networks, with applications to the Internet, wireless networks, smart grid, fog computing, and Internet of Things. Dr. Wong is an Editor of IEEE Transactions on Communications and an Associate Editor of IEEE Transactions on Mobile Computing. He has served as a guest editor of IEEE Journal on Selected Areas in Communications and IEEE Wireless Communications. Dr. Wong is a Fellow of the IEEE.
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NaNA2018 Keynote 3: |
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Speaker:
Prof. Naijie Gu
Title:
Big data analytics and applications: present and future trends
Affiliation:
University of Science and Technology of China
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| Abstract:An important signal of the Web 2.0 era is the explosive growth of user-generated content, which has led to a huge leap in the amount of data generated by human society, and ultimately led to the emerge of big data. At present, big data applications have penetrated into all areas of daily life, and the degree of informationization and intelligence of the society has increased significantly. The industrialization of big data poses new challenges to research areas including cluster systems, computing frameworks, storage systems, and data management methods. Many companies represented by Google, Facebook, Amazon, etc. have led the development of big data technology and the construction of universal big data platforms. This lecture will briefly describe the development history of big data, and introduce the latest research progress and application in the field of big data in recent years. Finally, the possible future development direction of big data will be discussed.
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Short bio:
Professor Gu Naijie is currently working at the School of Computer Science and Technology, University of Science and Technology of China. His research areas include parallel algorithms, networking, optimization algorithms, deep learning, intelligent transportation, and various aspects in big data analytics. He has host or participated in a number of National Major Special Projects, National 863, National Education Commission Doctoral Fund Project, and Anhui Natural Science Fund Project Research. He also has extensive research projects with well-known companies such as Huawei and Xunfei. He is a long-term member of Chinese Computer Federation.
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2017-2018
All Rights Rreserved.
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