Preliminary Program

Kindly note that the schedule below is tentative and subject to updates.

Conference Schedule at a Glance

Monday, Jun 25, 2018

8am - 9am    Registration (E-VI 1st Floor Lobby)
9am - 12pm    Workshop: MobileHealth

Room: TBD

6pm - 8pm    Conference Reception

6pm - 8pm    Poster Session

Room: E-VI 5th Floor

Tuesday, Jun 26, 2018

7:30am - 8:30am    Registration (E-VI 1st Floor Lobby)
8:30am - 9am    Opening

Session Chair: Mario Gerla and Suhas Diggavi, conference chairs

Room: E-VI Mong Auditorium (Room 180)

Abstract: Caching is an important component of content distribution networks. The traditional role of caching is to allow delivery of content to an end user from a nearby cache rather than from a remote server. While this approach is optimal for systems with a single cache, recent work in Information Theory shows this to be significantly suboptimal for systems with multiple caches. Instead, cache memories should be used to enable coded multicasting opportunities. This talk surveys these recent developments. We discuss both the fundamental performance limits of cache networks and the practical challenges that need to be overcome in real-life scenarios.

10am - 10:30am    Break
10:30am - 11:45am    Session 1: Crowdsourcing

Room: E-VI Mong Auditorium (Room 180)

(Re)Configuring Bike Station Network via Crowdsourced Information Fusion and Joint Optimization

Suining He and Kang G. Shin (The University of Michigan, Ann Arbor)

Towards Data Poisoning Attacks in Crowd Sensing Systems

Chenglin Miao, Qi Li, Houping Xiao, Wenjun Jiang, Mengdi Huai, and Lu Su (State University of New York at Buffalo)

Incentivizing Truthful Data Quality for Quality-Aware Mobile Data Crowdsourcing

Xiaowen Gong (Auburn University); Ness Shroff (The Ohio State University)

11:45am - 1:30pm    Lunch (on your own)
1:30pm - 2:45pm    Session 2: Network Algorithms

Room: E-VI Mong Auditorium (Room 180)

Priority Based Wireless Multi-Network Selection Games

Mohit Hota and Sanjiv Kapoor (Illinois Institute of Technology)

Harnessing HyDRO: Harvesting-aware Data ROuting for Underwater Wireless Sensor Networks

Stefano Basagni (ECE Dept., Northeastern University, Boston, MA); Valerio Di Valerio, Petrika Gjanci, and Chiara Petrioli (Dipartimento di Informatica, Università di Roma “La Sapienza,” Roma, Italy)

Wireless coverage prediction via parametric shortest paths

David Applegate and Aaron Archer (Google); David S. Johnson (deceased); Evdokia Nikolova (University of Texas at Austin); Mikkel Thorup (University of Copenhagen); Ger Yang (University of Texas at Austin)

2:45pm - 3:05pm    Break
3:05pm - 4:20pm    Session 3: MIMO and mm-wave

Room: E-VI Mong Auditorium (Room 180)

Uplink MU-MIMO in Asynchronous Wireless LANs

Huacheng Zeng and Hongxiang Li (University of Louisville); Qiben Yan (University of Nebraska-Lincoln)

SearchLight: Tracking Device Mobility using Indoor Luminaries to Adapt 60 GHz Beams

Muhammad Kumail Haider, Yasaman Ghasempour, and Edward W. Knightly (Rice University)

mmChoir: Exploiting Joint Transmissions for Reliable 60GHz mmWave WLANs

Ding Zhang, Mihir Garude, and Parth H Pathak (George Mason University)

4:20pm - 4:45pm    Break
4:45pm - 6pm    Session 4: Mobility

Room: E-VI Mong Auditorium (Room 180)

Densification Leveraging Mobility: An IoT Architecture Based on Mesh Networking and Vehicular Gateways

Chang-Sik Choi, Francois Baccelli, and Gustavo de Veciana (University of Texas at Austin)

User Mobility Analysis in Disjoint-Clustered Cooperative Wireless Networks

Wei Bao, Yonghui Li, and Branka Vucetic (University of Sydney)

Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks

Chaoyun Zhang and Paul Patras (The University of Edinburgh)

Wednesday, Jun 27, 2018

8am - 9am    Registration (E-VI 1st Floor Lobby)

Abstract: Freight transportation is of utmost importance for our society. Road transport accounts for about 26% of all energy consumption and 18% of greenhouse gas emissions in the EU. Despite this influence, road goods transportation is mainly done by individual long-haulage trucks with no real-time coordination or global optimisation. In this talk, we will discuss how modern information and communication technology supports a cyber-physical transportation system architecture with an integrated logistic system coordinating fleets of trucks travelling together in vehicle platoons. From the reduced air drag, platooning trucks travelling close together can save more than 10% of their fuel consumption. In addition, by automating the driving, it is possible to change driver regulations and save even more costs. Control, communication, and estimation problems on various level of this transportation system will be presented. It will be argued that a system architecture utilising vehicle-to-vehicle and vehicle-to-infrastructure communication enable robust and safe control of individual trucks as well as optimised vehicle fleet collaborations and new market opportunities. Extensive experiments done on European highways will illustrate system performance and safety requirements. The presentation will be based on joint work over the last ten years with collaborators at KTH and at the truck manufacturer Scania.

Bio: Karl Henrik Johansson is Director of the Stockholm Strategic Research Area ICT The Next Generation and Professor at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology. He received MSc and PhD degrees from Lund University. He has held visiting positions at UC Berkeley, Caltech, NTU, HKUST Institute of Advanced Studies, and NTNU. His research interests are in networked control systems, cyber-physical systems, and applications in transportation, energy, and automation. He is a member of the IEEE Control Systems Society Board of Governors, the IFAC Executive Board, and the European Control Association Council. He has received several best paper awards and other distinctions. He has been awarded Distinguished Professor with the Swedish Research Council and Wallenberg Scholar. He has received the Future Research Leader Award from the Swedish Foundation for Strategic Research and the triennial Young Author Prize from IFAC. He is Fellow of the IEEE and the Royal Swedish Academy of Engineering Sciences, and he is IEEE Distinguished Lecturer.

10am - 10:20am    Break
10:20am - 12pm    Session 5: Age of Information and Latency

Room: E-VI Mong Auditorium (Room 180)

Optimizing Information Freshness in Wireless Networks under General Interference Constraints

Rajat Talak, Sertac Karaman, and Eytan Modiano (MIT)

Age-based Scheduling: Improving Data Freshness for Wireless Real-Time Traffic

Ning Lu (Thompson Rivers University); Bo Ji (Temple University); Bin Li (University of Rhode Island)

PULS: Processor-supported Ultra-low Latency Scheduling

Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, Kartic Bhargav K R, Srinivas Shakkottai, I-Hong Hou, and P R Kumar (Texas A&M University, USA)

On the Delays in Time-Varying Networks: Does Larger Service-Rate Variance Imply Larger Delays?

Sebastien Henri (EPFL, Switzerland); Seva Shneer (Heriot-Watt University, UK); Patrick Thiran (EPFL, Switzerland)

12pm - 1:30pm    Lunch (on your own)
1:30pm - 2:45pm    Session 6: Network Economics

Room: E-VI Mong Auditorium (Room 180)

Loyalty Programs in the Sharing Economy: Optimality and Competition

Zhixuan Fang and Longbo Huang (Tsinghua University); Adam Wierman (California Institute of Technology)

Multi-Dimensional Contract Design for Mobile Data Plan with Time Flexibility

Zhiyuan Wang (The Chinese University of Hong Kong); Lin Gao (Harbin Institute of Technology); Jianwei Huang (The Chinese University of Hong Kong)

Incentivizing Hosts via Multilateral Cooperation in User-Provided Networks: A Fluid Shapley Value Approach

Hyojung Lee, Jihwan Bang, and Yung Yi (KAIST)

2:45pm - 3:15pm    Break
3:15pm - 4:30pm    Session 7: Learning in mobile networks

Room: E-VI Mong Auditorium (Room 180)

Learning Algorithms for Scheduling in Wireless Networks with Unknown Channel Statistics

Thomas Stahlbuhk (Massachusetts Institute of Technology); Brooke Shrader (MIT Lincoln Laboratory); Eytan Modiano (Massachusetts Institute of Technology)

Learning Data Dependency with Communication Cost

Hyeryung Jang, HyungSeok Song, and Yung Yi (KAIST)

Dynamic Pricing in the Presence of Participation-Dependent Social Learning

Qian Ma (The Chinese University of Hong Kong); Biying Shou (City University of Hong Kong); Jianwei Huang (The Chinese University of Hong Kong); Tamer Basar (University of Illinois at Urbana-Champaign)

6pm - 8pm    Conference Banquet

Thursday, Jun 28, 2018

8am - 9am    Registration (E-VI 1st Floor Lobby)

Abstract: Wi-Fi Goes to Town is a Wi-Fi based roadside hotspot network designed to operate at vehicular speeds and picocell (meter-sized) cells. Wi-Fi Goes to Town APs make delivery decisions to the vehicular clients they serve at millisecond-level granularities, exploiting very fine-grained path diversity in roadside networks. In order to accomplish this, we introduce new buffer management algorithms that integrate with 802.11 frame aggregation to allow participating APs to manage each others’ queues, rapidly quenching each others’ transmissions and flushing each others’ queues.

Bio: Kyle Jamieson is an Associate Professor in the Department of Computer Science at Princeton University and Honorary Reader at University College London. His research focuses on building mobile and wireless systems for sensing, localization, and communication that cut across the boundaries of digital communications and networking. He received the B.S. (Mathematics, Computer Science), M.Eng. (Computer Science and Engineering), and Ph.D. (Computer Science, 2008) degrees in Computer Science from the Massachusetts Institute of Technology. He then received a Starting Investigator fellowship from the European Research Council, the Google Faculty Research Award, and the ACM SIGMOBILE Early Career (“Rockstar”) Award.

10am - 10:20am    Break
10:20am - 12pm    Session 8: Network optimization

Room: E-VI Mong Auditorium (Room 180)

Ins and Outs: Optimal Caching and Re-Caching Policies in Mobile Networks

Wei Bao, Dong Yuan, Keqi Shi, Weiyu Ju, and Albert Y. Zomaya (University of Sydney)

Discount Allocation for Revenue Maximization in Online Social Networks

Kai Han, Chaoting Xu, and Fei Gui (School of Computer Science and Technology, University of Science and Technology of China); Shaojie Tang (University of Texas at Dallas); He Huang (Soochow University); Jun Luo (Nanyang Technological University)

WNOS: An Optimization-based Wireless Network Operating System

Zhangyu Guan, Lorenzo Bertizzolo, Emrecan Demirors, and Tommaso Melodia (Northeastern University)

On the Theory of Function Placement and Chaining for Network Function Virtualization

Jinbei Zhang (The Chinese University of Hong Kong); Weijie Wu (Future Network Theory Lab, 2012 Labs, Huawei Technologies Co., Ltd); John C.S. Lui (The Chinese University of Hong Kong)

12pm - 1:30pm    Lunch (on your own)
1:30pm - 2:50pm    Panel
2:50pm - 3:20pm    Break
3:20pm - 5pm    Session 9: Security and Privacy

Room: E-VI Mong Auditorium (Room 180)

Crowd-Empowered Privacy-Preserving Data Aggregation for Mobile Crowdsensing

Lei Yang (University of Nevada, Reno); Mengyuan Zhang and Shibo He (Zhejiang University); Ming Li (University of Nevada, Reno); Junshan Zhang (Arizona State University)

WiVo: Enhancing the Security of Voice Control System via Wireless Signal in IoT Environment

Yan Meng, Zichang Wang, Wei Zhang, Peilin Wu, and Haojin Zhu (Shanghai Jiao Tong University); Xiaohui Liang (University of Massachusetts Boston); Yao Liu (University of South Florida)

Are Friends of My Friends Too Social? Limitations of Location Privacy in a Socially-Connected World

Boris Aronov (New York University); Alon Efrat and Ming Li (University of Arizona); Jie Gao and Joseph S. B. Mitchell (Stony Brook University); Valentin Polishchuk (Linköping University); Boyang Wang (EECS Dept, University of Cincinnati); Hanyu Quan (Xidian University); Jiaxin Ding (Stony Brook University)

Social-Aware Privacy-Preserving Correlated Data Collection

Guocheng Liao (The Chinese University of Hong Kong); Xu Chen; Jianwei Huang (The Chinese University of Hong Kong)