3rd Workshop on Mobile Network Measurement (MNM’19)
Paper submission: Friday, April 19, 2019
Author notification: Friday, May 17, 2019
Camera ready: Friday, May 31, 2019
Workshop date: Monday, June 17, 2019
Network measurements provide essential input for operations and diagnostics as well as a basis for network design and development of protocols in today’s complex networks. Over the last few decades, mobile networks have become a vital piece of the modern communications infrastructure, underpinning many aspects of modern society. The importance of mobile networks will only continue with the upcoming 5G networks. However, measurement is especially challenging for mobile networks because the mobile ecosystem is complex with many different components required to work together in a dynamic environment where channel conditions constantly change and users move. The workshop will focus on active and passive measurement methods and results for mobile networks.
The objective of the MNM workshop is to bring together researchers and industry, especially mobile operators and businesses whose operations depend on mobile networks, for discussion of measured network effects as well as optimization and advancement of measurement tools and methods for mobile environments. We solicit contributions on the state-of-the-art, results of ongoing research, open issues, trends and new ideas.
Measurement results in mobile broadband networks covering any layer from physical over network/end-to-end (Quality of Service) to application-level performance (Quality of Experience)
Tools and methods for performance measurements that are optimized for mobile networks
Tools and methods for measurements in emerging 5G networks and within 5G slices
Tools, metrics and performance analysis for the Edge and Fog domain
Measurement techniques and metrics for evaluating the performance of industry verticals (eHealth, energy, automation, etc) in 5G networks
Measurements and tools for proxy detection as well as classification and modeling of in-network functions in mobile networks
Machine learning and data analytics for monitoring and analysis of mobile network traffic
Visualization of dynamics in mobile networks for diagnostics
Approaches and protocols to support measurements and monitoring in mobile networks
Repeatable and reproducible mobile network measurements
Authors should only submit original work that has not been published before and is not under submission to any other venue. Submissions must not exceed 6 pages in IEEE 2-column style, including all figures and references.
Feel free to contact the MNM workshop co-chairs if you have any questions regarding the CfP content: