IEEE International Conference on Communications
20-24 May 2019 // Shanghai, China
Empowering Intelligent Communications


Room 5E

09:10 am: Opening & Keynote (morning)

Jie Li Keynote: Big Data and Blockchain
Speaker: Prof. Jie Li, Shanghai Jiaotong University, China
Short bio: Prof Li is a Chair Professor in Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai, China. His current research interests are in big data, cloud computing, mobile distributed computing and networking, network security, OS, modeling and performance evaluation of information systems. He was a full professor in Department of Computer Science, University of Tsukuba, Japan. He was a visiting Professor in Yale University, USA, Inria Sophia Antipolis and Inria Grenoble-Rhone-Aples, France. He is the co-chair if IEEE Technical Community of Big Data and the Chair of IEEE ComSoc Technical Committee on Big Data and the Co-Chair of IEEE Big Data Community. He serves as an associated editor for many IEEE journals and transactions. He has also served on the program committees for several international conferences.

Session 1: Machine Learning for SDNs

10:00 am: Fast and Adaptive Failure Recovery using Machine Learning in Software Defined Networks

Tram Truong-Huu (National University of Singapore, Singapore); Prarthana Prathap (National University of Singapore, Singapore); Purnima Murali Mohan (National University of Singapore, Singapore); Mohan Gurusamy (National University of Singapore, Singapore)

10:15 am: Proactive Mobility Management based on Virtual Cells in SDN-enabled Ultra-dense Networks

Qian Liu (Beijing University of Posts and Telecommunications, P.R. China); Gang Chuai (Beijing University of Posts and Telecommunications, P.R. China); Jingrong Wang (University of Victoria, Canada); Jianping Pan (University of Victoria, Canada); Weidong Gao (Beijing University of Posts and Telecommunications, P.R. China); Xuewen Liu (Beijing University of Post and Telecommunication, P.R. China)


Session 2: Machine Learning for Wireless Networks

11:00 am: Mobility Prediction Method to Optimize Resource Allocation in Heterogeneous Networks

Songqi Tian (Beijing University of Posts and Telecommunications, P.R. China); Xi Li (Beijing University of Posts and Telecommunications, P.R. China); Hong Ji (Beijing University of Posts and Telecommunications, P.R. China); Heli Zhang (Beijing University of Posts and Telecommunications, P.R. China)

11:15 am: Feed-Forward Neural Network Based Mode Selection for Moving D2D-Enabled Heterogeneous Ultra-Dense Network

Bingying Xu (Beijing University of Posts and Telecommunications, P.R. China); Xiaodong Xu (Beijing University of Posts and Telecommunications & Wireless Technology Innovation Institute, P.R. China); Fanyu Gong (Beijing University of Posts and Telecommunications, P.R. China); Ziwei Sun (Beijing University of Posts and Telecommunications, China Beijing, P.R. China)

11:30 am: Radio Resource Scheduling for 5G NR via Deep Deterministic Policy Gradient

Sheng-Chia Tseng (Institute for Information Industry, Taiwan); Zheng-Wei Liu (National Central University, Taiwan); Yen-Cheng Chou (National Central University, Taiwan); Chih-Wei Huang (National Central University, Taiwan)

11:45 am: What Machine Learning Predictor Performs Best for Mobility Prediction in Cellular Networks?

Hana Gebrie (University of Oklahoma, USA); Hasan Farooq (University of Oklahoma, USA); Ali Imran (University of Oklahoma, USA)

12:00 pm: A synthetic user behavior dataset design for data-driven AI-based personalized wireless networks

Rawan Alkurd (Carleton University, Canada); Ibrahim Abualhaol (Carleton University, Canada); Halim Yanikomeroglu (Carleton University, Canada)

12:15 pm: AI empowered Smart User Association in LTE Relays HetNets

Hasan Farooq (University of Oklahoma, USA); Ali Imran (University of Oklahoma, USA); Mona Jaber (Fujitsu Laboratories of Europe, United Kingdom (Great Britain))



02:00 pm: Keynote (afternoon)

Jie LiKeynote: AI & Data Analytics in Intelligent, Adaptive, and Efficient 6G Networks of 2030s
Speaker: Prof. Halim Yanikomeroglu, Carleton University, Canada

Abstract: The 5G standards are currently being developed with a scheduled completion date of December 2019; the 5G wireless networks are expected to be deployed globally throughout 2020s. As such, it is time to reinitiate a brainstorming endeavour followed by the technical groundwork towards the subsequent generation (6G) wireless networks of 2030s. One reasonable starting point in the unfolding 6G discussion is to reflect on the possible shortcomings of the 5G networks to-be-deployed. 5G promises to provide connectivity for a broad range of use-cases in a variety of vertical industries; after all, this rich set of scenarios is indeed what distinguishes 5G from the previous four generations. Many of the envisioned 5G use-cases require challenging target values for one or more of the key QoS elements, such as high rate, high reliability, low latency, high energy efficiency, and high security; we refer to the presence of such demanding links as the super-connectivity. However, the very fundamental principles of digital and wireless communications reveal that the provision of ubiquitous super-connectivity in the global scale – i.e., beyond indoors, dense downtown or campus-type areas – is infeasible with the legacy technologies and the network architecture as this would require prohibitively expensive gross over-provisioning. In the absence of a clear technology roadmap for the 2030s, the presentation has, to a certain extent, an exploratory view point to stimulate further thinking and creativity on the promise of AI and data analytics opportunities towards intelligent, adaptive, and efficient 6G networks of 2030s.

Short bio: Professor Halim Yanikomeroglu is with the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. His research covers many aspects of wireless communications and networking technologies; his group made contributions to 4G and 5G wireless networks. He supervised 22 PhD students (all completed with theses). He coauthored 130+ IEEE journal papers; his publications have received 12,000 citations. He is a Fellow of IEEE, Engineering Institute of Canada (EIC), and Canadian Academy of Engineering (CAE); he is a Distinguished Speaker for both IEEE Communications Society and IEEE Vehicular Technology Society. He has been one of the most frequent tutorial presenters in the leading international IEEE conferences (31 times). He has had extensive collaboration with industry which resulted in 28 granted patents. During 2012-2016, he led one of the largest academic-industrial collaborative research projects on pre-standards 5G wireless, sponsored by the Ontario Government and the industry. He was the Chair of the IEEE’s Technical Committee on Personal Communications. He served as the General Chair and Technical Program Chair of several major international IEEE conferences. He is currently serving as the Chair of the Steering Committee of IEEE’s flagship Wireless Communications and Networking Conference (WCNC).


Session 3: Machine Learning for Network Security

02:45 pm: Abnormal Network Traffic Detection Based on Transfer Component Analysis

Jie Niu (Beijing University of Posts and Telecommunications, P.R. China); Yong Zhang (Beijing University of Posts and Telecommunications, P.R. China); Dan Liu (Instrumentation Technology and Economy Institute, P.R. China); Guo Da (Beijing University of Posts and Telecommunications, P.R. China); Yinglei Teng (Beijing University of Posts and Telecommunications, P.R. China)

03:00 pm: Identification of User Application by an External Eavesdropper using Machine Learning Analysis on Network Traffic

Sina Fathi Kazerooni (New Jersey Institute of Technology, USA); Yagiz Kaymak (New Jersey Institute of Technology, USA); Roberto Rojas-Cessa (New Jersey Institute of Technology, USA)

03:15 pm: A Novel Malware Detection System Based on Machine Learning and Binary Visualization

Ιrina Βaptista (Plymouth University, United Kingdom (Great Britain)); Stavros Shiaeles (University of Plymouth, United Kingdom (Great Britain)); Nicholas Kolokotronis(University of Peloponnese, Greece)


Session 4: Packet Caching and Routing

04:00 pm: Big Data Driven Predictive Caching at The Wireless Edge

Chien Aun Chan (The University of Melbourne, Australia); Ming Yan (Communication University of China, P.R. China); André F. Gygax (Centre for Energy-Efficient Telecommunications (CEET) & University of Melbourne, Australia); Wenwen Li (CMRI, P.R. China); Li Li (University of Melbourne, Australia); Chih-Lin I (China Mobile Research Institute, P.R. China); Jinyao Yan (Communication University of China, P.R. China); Christopher Leckie (University of Melbourne, Australia)

04:15 pm: Rerouting based Congestion Control in Data Center Networks

Jianhua Hao (Xidian University, P.R. China); Yan Shi (Xidian University, P.R. China); Hongguang Sun (Northwest A&F University, P.R. China); Min Sheng (Xidian University, P.R. China); Jiandong Li (Xidian University, P.R. China)


Panel Discussion

04:30 pm - 5:30 pm: Panel Discussion



Innovation Exhibitors