2nd ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases (5G-MeMU)


Submission deadline: May 11


SIGCOMM is back in person! Join us in Amsterdam in the week of August 22 – 26, 2022.


Workshop website: https://conferences.sigcomm.org/sigcomm/2022/workshop-5g-memu.html




Commercial 5G networks are being quickly rolled out worldwide. In theory, millimeter wave (mmWave) 5G can support network throughput of up to 20 Gbps, a 100× improvement compared to today’s 4G LTE. 5G and beyond networks enable the development of new services that require ultra-high bandwidth and/or low latency. Examples include edge-assisted machine learning, networked virtual reality and augmented reality, collaborative and autonomous vehicles, low-latency Internet of things (IoT) applications, and data-intensive sensing, to name a few. Despite the potential of 5G and beyond technologies, the validation of 5G performance in operational systems and a complete understanding of the impact of such technologies on various vertical use cases remain primarily open. The research community also faces several major challenges to conducting research on 5G and beyond networks, and leveraging 5G’s infrastructure to support the development and deployment of research prototypes.


The key issues include heterogeneity in both 5G and beyond technologies and service requirements, the inaccessibility and closedness of current commercial 5G networks, and a lack of software infrastructures such as tools and models that facilitate 5G and beyond enabled research, system prototyping, and experimentation. (1) 5G technologies and performance are heterogeneous. Unlike its 4G predecessors, 5G encompasses more diverse technologies such as mmWave high-band vs. mid-band vs. sub-6G low-band radio spectrum. This poses challenges in designing systems and services that can quickly adapt to changing 5G performance. The needs and requirements posed by various 5G and beyond use cases are also highly heterogeneous. This poses challenges for 5G deployments to meet and validate diverse service requirements end-to-end. (2) 5G’s deployment takes time. Right now, mmWave 5G is only available in a few major cities. The supporting infrastructures such as 5G edge computing platforms have registered even less deployment. This hinders researchers, in particular those in less populated areas, from accessing 5G. Furthermore, the commercial 5G ecosystem is closed. This makes it difficult to access many types of information such as cellular control-plane messages, device radio energy consumption, and base station resource allocation status. (3) There is still a gap between high demand and current development for open programmable  5G and beyond software stacks to enable prototyping and experimentation. Considering the current experiences and expectations from various vertical domains, the software stacks that support building 5G research prototypes as well as traffic models and tools that capture vertical’s performance are insufficient.


The 5G-MeMU workshop is motivated by the above key challenges of understanding and optimizing operational 5G and beyond systems and services and conducting 5G-related research. Its goal is to bring together researchers, cellular network operators, equipment vendors, mobile device manufacturers, vertical use case owners, and policymakers, from academia, industry, and government for discussion of the challenges of the 5G ecosystem, centered on practical experiences with 5G and beyond systems and services, and the state-of-the-art 5G and beyond research. This workshop solicits novel contributions to the state-of-the-art, results of ongoing research, open issues, trends, and new ideas.


*** Topics of Interest ***


Topics of interest include, but are not limited to:

Application-Level Performance Evaluation of 5G Networks and 5G slices

End-to-End Measurement and Validation Frameworks for 5G KPIs

Crowd-Sourced Data Collection Services for Commercial 5G

Deployment of Massive Scale IoT Systems on 5G and beyond

Energy Consumption Analysis and Modeling of 5G and beyond Radio

Experiences on Designing, Implementing, and Deploying 5G and beyond Testbeds

Exploration of Open Architectures for 5G and beyond RAN and Core Networks

Machine Learning for Analyzing and Predicting 5G Traffic

Measurement-Driven and ML/AI Approaches for 5G and beyond Design and Optimization

Metrics, Tools, and Testbeds for 5G and beyond Edge

Performance Evaluation and Optimization of 5G and beyond Multi-Access and Multi-Connectivity Solutions

Traffic Models, Tools, and Performance Evaluation of Industry Verticals (eHealth, Transportation, Automation, Smart Cities, etc.) in 5G Networks

Network Friendly Monitoring of Commercial 5G Networks

Novel 5G-Aware Networked Systems and Applications

Security Analysis of 5G and beyond Systems and Applications

Techniques for Improving Reproducibility in 5G Measurements


*** Submission Instructions ***


Submissions must be original, unpublished work, and not under consideration at another conference or journal. Submitted papers must be at most six (6) pages long, excluding references and appendices, in two-column 10pt ACM format. Papers must include author names and affiliations for single-blind peer reviewing by the PC. Authors of accepted submissions are expected to present and discuss their work at the workshop.

Please submit your paper via https://memu-5g22.hotcrp.com.


*** Important Dates ***


May 11, 2022                             Paper Submission Deadline

June 17, 2022                             Paper Acceptance Notification

July 1, 2022                                 Camera-Ready Deadline


*** Steering Committee ***

Anna Brunstrom Karlstad University, Sweden

Bo Han, George Mason University, US


*** Program Co-Chairs ***

Ozgu Alay, University of Oslo, Norway

Ying Wang, Stevens Institute of Technology, US


*** Technical Program Committee ***

Andra Lutu, Telefonica, Spain

Aloizio Pereira da Silva, Virginia Tech, US

Bei Xie, McNeese State University, US

Bo Yu, George Mason University, US

Carla Fabiana Chiasserini, Politecnico di Torino, Italy

Chi-Yu Li, National Chiao Tung University, Taiwan

Daniel Jakubisin, Virginia Tech, US

Georgios Gardikis, Space Hellas, Cyprus

Giuseppe Caso, Ericsson, Sweden

Gyan Ranjan, Ericsson, US

Harilaos Koumaras, NCSR Demokritos, Greece

Hongyi Wu, Old Dominion University, US

Pedro Merino, University of Malaga, Spain

Shucheng Yu, Stevens Institute of Technology, US

Song Liu, Google, US

Valerio Frascolla, Intel, Germany

Victor Lawrence, Stevens Institute of Technology, US

Vincenzo Mancuso, IMDEA Networks, Spain

Xuan Tuyen Tran, AT&T Labs, US

Yang Zhang, Google, US

Yanjun Pan, University of Arkansas, US

Yuanjie Li, Tsinghua University, China



Professor Anna Brunstrom

Department of Mathematics and Computer Science

Karlstad University

651 88 Karlstad, Sweden

Phone:   +46 54 7001795

E-mail:  [log in to unmask]



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