Call for Papers: Intelligent Mobility and Edge Computing for a Smarter World


In recent years, we have seen fast development of wireless communications, networking, and cloud computing: 4G, 5G and multiaccess networks greatly enhance the quality of service (QoS) of wireless access networks; software-defined networking, network function virtualization, and information-centric networking largely reduce the cost of network service providers and improve the quality of experience (QoE) of end-users; the development of mobile devices and mobile cloud computing lead to explosive deployment of mobile services and applications; the recent development of advanced algorithms such as Deep Learning has shown great potential in resource allocation and service orchestration. Deep integration of the above technologies provides a large number of opportunities for realizing the future mobile computing systems. On the other hand, to realize an efficient and sustainable ecosystem, many challenges exist. The challenges lie in a wide range, including devices technologies, communications and networking technologies, cloud and edge computing technologies, energy harvesting technologies, and incentive and marketing mechanisms. Among the above-mentioned research directions, this special issue puts special focus on mobile edge computing (MEC), which is an essential component of the upcoming 5G architecture, and of fundamental importance to the future mobile computing systems. It offers the opportunity to leading researchers, industry professionals and academics around the world to meet and discuss the latest advances in these areas and present results related to technologies for realizing the sustainable ecosystem of the future mobile computing systems.


Topics of interest include, but are not limited to, the following scope:

Multiaccess networks and resource management

Cooperative communications

V2X (vehicular to everything) technologies

Mobile network management and virtualization

5G network architecture, management technologies, and services

Information-Centric Networking and Named-Data-Networking technologies for mobile networks

Energy efficiency for multiaccess networks

Advanced algorithms such as Deep Learning for mobile network management

Security and privacy issues for emerging mobile services

Mobile edge computing (MEC) architecture, protocol, and services

Important Dates

Manuscript submission deadline: Jan. 30, 2022
Notification of conditional acceptance: Mar. 5, 2022
Submission of final revised paper: Mar. 20, 2022
Notification of acceptance: Mar. 30, 2022
Publication of special issue (tentative): Sep. 20, 2022

Submission Procedure

Authors should follow the MONET Journal manuscript format described at the journal site. Manuscripts should be submitted on-line through

A copy of the manuscript should also be emailed to the Guest Editors at the following email address(es)

Guest Editors:

A/Prof. Wei Zhao, Anhui University of Technology, China;

A/Prof. Celimuge Wu, The University of Electro-Communications, Japan;

Dr. Xianfu Chen, VTT Technical Research Centre, Finland;

A/Prof. Xun Shao, Kitami Institute of Technology, Japan;

Wei Zhao

received his Ph.D. in applied information science from Tohoku University in 2015. He was an “overseas researcher under Postdoctoral Fellowship of Japan Society for the Promotion of Science” (JSPS) with Prof. Takahiro Hara at Osaka University. He is currently an associate professor at Anhui University of Technology, China. His papers received best paper awards at GLOBECOM 2014 and WCSP 2014. His major research interests include wireless mesh networks and mobile ad hoc networks.

Celimuge Wu

received his M.E. degree from Beijing Institute of Technology, Beijing, China, in 2006, and PhD degree from the University of Electro-Communications, Tokyo, Japan, in 2010. He was an assistant professor at the Graduate School of Information Systems, the University of Electro-Communications from 2010, and since November 2015, he has been an associate professor at the same university.

Xianfu Chen

received the Ph.D. degree with honors in Signal and Information Processing, from the Department of Information Science and Electronic Engineering (ISEE) at Zhejiang University, Hangzhou, China, in March 2012. He is currently a Senior Scientist at the VTT Technical Research Centre of Finland, Oulu, Finland.

Xun Shao

received the Ph.D. degree from Osaka University, Japan, in 2013. He was a researcher at the National Institute of Information and Communications Technology (NICT), Japan, from 2013 to 2017. He is currently assistant professor with the School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology, Japan.