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Anna Brunström <[log in to unmask]>
Fri, 19 May 2023 22:07:34 +0000
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3rd ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases (5G-MeMU)

Submission deadline: June 11

Join us in New York City in the week of September 10 - 14, 2023, for the SIGCOMM event.

Workshop website:


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 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 in 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 and beyond Traffic
-    Measurement-driven and ML/AI 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 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

*** Important Dates ***

June 11, 2023                             Paper Submission Deadline
July 2, 2023                                 Paper Acceptance Notification
July 16, 2023                              Camera-Ready Deadline

*** Steering Committee ***
Anna Brunstrom Karlstad University, Sweden
Bo Han, George Mason University, US
Zhi-Li Zhang, University of Minnesota, US

*** Program Co-Chairs ***
Tao Han, New Jersey Institute of Technology, US
Luca De Nardis, Sapienza University of Rome, Italy

*** Technical Program Committee ***
Ahan Kak, Nokia Bell Labs, US
Chi-Yu Li, National Chiao Tung University, Taiwan
Giuseppe Caso, Karlstad University, Sweden
Gyan Ranjan, Ericsson, US
Harilaos Koumaras, NCSR Demokritos, Greece
Ning Zhang, University of Windsor, Canada
Ozgu Alay, University of Oslo, Norway
Pedro Merino, University of Malaga, Spain
Qiang Liu, University of Nebraska - Lincoln, US
Vijay K. Shah, George Mason University, US
Vincenzo Mancuso, IMDEA Networks, Spain
Ying Wang, Stevens Institute of Technology, 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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