IEEE Globecom 2019 Workshop on Wireless Edge Intelligence

Scope and Topics of Interests

With the explosive growth of smart devices and the advent of many new applications, mobile traffic volume has been growing exponentially. The myriad technological advances proposed for the 5G networks still mostly focus on capacity increase, which is constrained by the limited spectrum resources as well as the diminishing profits for operators and, therefore, will always lag behind the growth rate of mobile traffic. Therefore, novel distributed architectures, which bring network functions (such as computing and caching) and contents to the edge, emerges, i.e., mobile edge computing and caching, to confront the aforementioned challenges in the network development and many emerging applications, such as AR/VR, IoT, eHealth, autonomous driving , gaming etc. However, on the way towards efficient and intelligent network edge computing and caching, there are many open problems ahead. From the computing part, how to flexibly utilize the distributed computing resources at the network edge, such as mobile computing or fog computing is of significance. Moreover, what to be offloaded to the edge node and when to offload also call for research attentions. From the caching part, what, when, where and how to cache the contents to reduce the demand for radio resources are vital. Last but not the most, how to efficiently integrate computing and caching at the edge node and utilize the synergy of computing and caching also requires a breakthrough. This workshop aims to consolidate the timely and solid works of the current state-of-the art in terms of fundamental research ideas and network engineering geared towards exploiting intelligent caching and computing at the network edge. The topics of interests related to edge caching and computing include (but are not limited to):

l  System modelling: Computation modelling, content modelling, energy consumption modelling etc.;

l  Novel transmission technologies for learning-based applications at the network edge;

l  Scheduling schemes for efficient training, inference for edge learning/ edge AI;

l  Timely data acquisition mechanisms to support delay sensitive edge processing;

l  Coded computing for edge intelligence;

l  Enabling technologies: e.g., SDN, NFV, CRAN, D2D, cloud/fog computing and networking, etc.;

l  Emerging applications via edge intelligence: vehicular networking, massive IoT, smart grid, healthcare, intelligent manufactory, etc;

l  Novel network architecture: convergence of computing, communications and caching, content/information-centric network, cognitive computing and networking, big data analytic;

l  Context-aware schemes: incentive mechanism for computing and caching, pricing, game theoretic approach, network economic etc, caching placement and delivery;

l  Mobility management for mobile edge computing and proactive caching, the way to exploit the mobility for more computing and caching opportunities;

l  Energy efficiency aspects: energy harvesting, energy storage, energy transfer, etc;

l  Security and privacy issue;

l  Prototyping, test-beds and field trials.

Important date

Paper Submission Deadline: June 30, 2019

Paper Acceptance Notification: August 15, 2019

Camera-Ready: September 15, 2019

Submission Link

Please follow the general guideline of IEEE Globecom. The submission link can be found here.

Keynote

Andreas Molisch, University of Southern California

Workshop Organizers

General Co-Chairs

Luiz DaSilva , Trinity College Dublin, Ireland,

Zhisheng Niu, Tsinghua University, China

 

Program Co-Chairs

Sheng Zhou, Tsinghua University, China

Zheng Chang, University of Jyväskylä, Finland

 

Publicity Co-Chairs

Jie Gong, Sun Yet-Sen University, China,

Jie Xu, University of Miami, U.S.

Zhiyuan Jiang, Shanghai University, China

 

Technical Program Members

TBD