2nd International Conference on 5G for Ubiquitous Connectivity

Dr. Baoliu Ye, Professor, Hohai University, China. He is a full professor and the dean of the School of Computer and Infomation, Hohai University. He received his Ph.D. in computer science from Nanjing University, China in 2004, and was a professor with Nanjing University from 2014. His current research interests mainly include distributed systems, cloud computing, wireless networks with over 70 papers published in major conferences and journals. Prof. Ye served as the TPC co-chair of HotPOST’12, HotPOST’11, P2PNet’10. He is the regent of CCF, the Secretary-General of CCF Technical Committee of Distributed Computing and Systems, and a member of IEEE. Dr. Weihua Zhuang has been with the Department of Electrical and Computer Engi- neering, University of Waterloo, Canada, since 1993, where she is a Professor and a Tier I Canada Research Chair in Wireless Communication Networks. She is the recipient of 2017 Technical Recognition Award from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, one of 2017 ten N2Women (Stars in Computer Network- ing and Communications), and a co-recipient of several best paper awards from IEEE conferences. Dr. Zhuang was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2007-2013), Technical Program Chair/Co-Chair of IEEE VTC Fall 2017 and Fall 2016, and the Technical Program Symposia Chair of the IEEE Globecom 2011. She is a Fellow of the IEEE, the Royal Society of Canada, the Canadian Academy of Engineering, and the Engineering Institute of Canada. Dr. Zhuang is an elected member in the Board of Governors and VP Publications of the IEEE Vehicular Technology Society. She was an IEEE Communications Society Distinguished Lecturer (2008-2011). Dr. Song Guo is a Full Professor at Department of Computing, The Hong Kong Poly- technic University. He received his Ph.D. in computer science from University of Ottawa and was a professor with the University of Aizu. His research interests are mainly in the areas of big data, cloud computing and networking, and distributed systems with over 400 papers published in major conferences and journals. His work was recognized by the 2016 Annual Best of Computing: Notable Books and Articles in Computing in ACM Computing Reviews. He is the recipient of the 2017 IEEE Systems Journal Annual Best Paper Award and other five Best Paper Awards from IEEE/ACM conferences. Prof. Guo was an Associate Editor of IEEE Transactions on Parallel and Distributed Systems and an IEEE ComSoc Distinguished Lecturer. He is now on the editorial board of IEEE Transactions on Emerging Topics in Computing, IEEE Transactions on Sustainable Computing, IEEE Transactions on Green Communications and Networking, and IEEE Communications. Prof. Guo also served as General, TPC and Symposium Chair for numerous IEEE conferences. He currently serves as an officer for several IEEE ComSoc Technical Committees and a director in the ComSoc Board of Governors.

• Introduction.-  Collaborative Inference for Mobile Deep Learning Applications.- Compressed Sensing Channel Estimation for LTE-V.- Power Allocation Scheme for Non-Orthogonal Multiple Access in Cloud Radio Access Networks.- Energy Efficient Optimization Scheme for Uplink Distributed Antenna System with D2D Communication.- A Cluster-Based Interference Management with Successive Cancellation for UDNs.- Delay Sensitive Application Partitioning and Task Scheduling in Mobile Edge Cloud Prototyping.- Priority-based User-centric Interference Mitigation Scheme in the Ultra Dense Network.- SAR Target Recognition via Enhanced Kernel Sparse Representation of Monogenic Signal.- Optimization of FBMC Waveform by Designing NPR Prototype Filter with Improved Stopband Suppression.- Robust Spectrum-Energy Efficiency for Green Cognitive Communications.- Optimal Precoding Design for LoS MIMO Channels with the Spherical-Wave Model.- An Envisioned Virtual Gateway Architecture for Capillary Networks in Smart Cities.- A Network Calculus Based Traceable Performance Analysis Framework of C-RAN for 5G.- Image dehazing using degradation model and group-based sparse representation.- Delay Analysis for URLLC in 5G Based on Stochastic Network Calculus.- Conclusion.