ACM SIGCOMM 2022, Amsterdam, The Netherlands
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The 2nd ACM SIGCOMM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases (5G-MeMU)

Call for Papers

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 May 25, 2022

    Submission deadline

  • June 17, 2022

    Acceptance notification

  • July 1, 2022

    Camera-ready deadline

Organizers

  • 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