ACM SIGCOMM 2021, virtually (online)

ACM SIGCOMM 2021 Workshop on 5G Measurements, Modeling, and Use Cases (5G-MeMU)

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Workshop program

  • Monday, August 23, 2021 EDT

  • 1:40 - 1:50 pm EDT      Opening

  • 1:40 - 1:50 pm EDT

    Opening Remarks

    Speakers: Workshop co-chairs

  • 1:50 - 2:50 pm EDT      Session 1: Measurements and Data Processing

    Session chair: Ying Wang
  • Experimentation and 5G KPI measurements in the 5GENESIS platforms

    Georgios Xylouris (NCSR Demokritos), Maria Christopoulou (NCSR Demokritos), Harilaos Koumaras (NCSR Demokritos), Michail-Alexandros Kourtis (NCSR Demokritos), Marc Emmelmann (Fraunhofer Institute for Open Communication System FOKUS), Dionysia Triantafyllopoulou (5G Innovation Centre - 5GIC), Yogaratnam Rahulan (5G Innovation Centre - 5GIC), Ivan Gonzalez Muriel (Universidad de Málaga), Almudena Diaz Zayas (Universidad de Málaga), Eneko Atxutegi (Nemergent Solutions SL), Georgios Gardikis (Space Hellas (Cyprus) Ltd.), Dimitrios Lioprasitis (Space Hellas (Cyprus) Ltd.), Dimitris Tsolkas (FOGUS Innovations & Services P.C), Panagiotis Kostakis (FOGUS Innovations & Services P.C), Erik Aumayr (Ericsson LMI Research Centre), Anne-Marie Bosneag (Ericsson LMI Research Centre), Ozgu Alay (University of Oslo), Valerio Frascolla (Intel), and Anna Brunstrom (Karlstad University)

  • Improving Railway Track Coverage with mmWave Bridges: A Measurement Campaign

    Adrian Schumacher (Swisscom (Switzerland) Ltd.), Nima Jamaly (Swisscom (Switzerland) Ltd.), Ruben Merz (Swisscom (Switzerland) Ltd.), and Andreas Burg (Ecole polytechnique fédérale de Lausanne (EPFL))

  • Learning from Large-scale Commercial Networks: Challenges and Knowledge Extraction towards Machine Learning Use Cases

    Roman Zhohov (Ericsson Research), Alexandros Palaios (Ericsson Research), and Philipp Geuer (Ericsson Research)

  • 2:50 - 3:00 pm EDT Break

  • 3:00 - 4:00 pm EDT      Session 2: 5G Systems and Applications

    Session chair: Anna Brunstrom
  • Extending Network Slice Management to the End-host

    Alexander Rabitsch (Karlstad University), George Xilouris (NCSR Demokritos), Themistoklis Anagnostopoulos (NCSR Demokritos), Karl-Johan Grinnemo (Karlstad University), Thanos Sarlas (NCSR Demokritos), Anna Brunstrom (Karlstad University), Özgü Alay (University of Oslo, Simula Metropolitan), and Giuseppe Caso (Simula Metropolitan)

  • Case for 5G-Aware Video Streaming Applications

    Eman Ramadan (University of Minnesota - Twin Cities), Arvind Narayanan (University of Minnesota - Twin Cities), Udhaya Kumar Dayalan (University of Minnesota - Twin Cities), Rostand A. K. Fezeu (University of Minnesota - Twin Cities), Feng Qian (University of Minnesota - Twin Cities), and Zhi-Li Zhang (University of Minnesota - Twin Cities)

  • (Invited talk) Observability in the era of network slicing: Opportunities and Challenges

    Arthur Brisebois (Ericsson)
    Abstract: Many of the business drivers for 5G, versus continued 4G expansion of "plain vanilla" smartphone use cases, are associated with the connectivity and revenue opportunities for a more diverse and dense set of new wireless devices and applications. Some of these new devices, applications and use cases are expected to increase Average Revenue Per User (ARPU) and expectations. Others are expected to reduce ARPU and overall costs. For these reasons, 5G brings "network slicing", which can enable a broad set of customization capabilities for cellular service providers, while enabling desired levels of quality of service (QoS) and quality of experience (QoE) for various applications. In this talk, we will provide an overview on radio observability and the required underlying intelligence; and discuss, in detail, the challenges that come along with the network slicing opportunity.
    Speaker Bio: Arthur Brisebois (Art) is a Distinguished Engineer at Ericsson's Global AI Accelerator. Art is an industry veteran in the field of telecommunications and has over three decades of experience in the operations and management of Telco networks. As a member of the technology team at AT&T, he contributed extensively to the introduction and stabilizing of new radio technologies. He holds over 200 patents (part of AT&T's portfolio), mostly in the fields of radio networks, devices and associated services. His current interests lie in the field of introducing AI/ML capabilities to the complicated universe of real time LTE operations and management.

  • 4:00 - 4:10 pm EDT Break

  • 4:10 - 5:00 pm EDT      Keynote + Closing Remarks

  • 4:10 - 4:50 pm EDT

    An Overview of the Advanced Wireless Research at NSF

    Speaker: Alexander Sprintson (National Science Foundation)
    Abstract: Wireless mobile broadband communication networks have seen rapid development over the last two decades. This growth has brought new capabilities, including increased data rates, lower latencies, as well as computational and storage resources. National Science Foundation (NSF)-funded research has greatly contributed to modern wireless communication networks and systems, as evident through technologies like spectrum auctions, spectrum sharing, massive MIMO antennas, millimeter-wave (mmWave) frequency devices, and wireless telemetry. In this talk, we will provide an overview of the current NSF initiatives to accelerate research in the broad areas of Next-Generation (NextG) networking and computing systems. This talk will cover several major research and infrastructure programs led by NSF and the key expected research outcomes. We will also discuss key research areas with potentially significant impacts on the NextG systems.
    Speaker Bio: Dr. Alex Sprintson joined NSF as a rotating Program Director in September 2018, in the Directorate of Computer & Information Science and Engineering (CISE). He manages networking research within the Networking Technologies and Systems (NeTS) and Secure and Trustworthy Cyberspace (SaTC) programs. He also serves as a program manager for the Resilient and Intelligent Next-Generation Systems (RINGS) program and NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS) program, Spectrum Innovation Initiative (SII), and Platforms for Advanced Wireless Research (PAWR). Alex Sprintson is a faculty member in the Department of Electrical and Computer Engineering, Texas A&M University, College Station, where he conducts research on wireless network coding, distributed storage, and secure and private computation and networking. Dr. Sprintson received the Wolf Award for Distinguished Ph.D. students, the Viterbi Postdoctoral Fellowship, the TAMU College of Engineering Outstanding Contribution Award, and the NSF CAREER award. From 2013 and 2019, he served as an Associate Editor of the IEEE Transactions on Wireless Communications. He has been a member of the Technical Program Committee for the IEEE Infocom 2006-2022.

  • 4:50 - 5:00 pm EDT

    Closing Remarks

    Speakers: Workshop co-chairs

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, much higher than today’s 4G LTE. 5G enables us to develop revolutionized 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 5G’s potential, the validation of 5G performance in operational systems and a complete understanding of the impact of 5G technologies on various vertical use cases remains largely open. The research community also faces several major challenges to conducting research on 5G networks, and on leveraging 5G networks to support the development and deployment of research prototypes.

The key issues include heterogeneity in both 5G technologies and service requirements, the closedness and inaccessibility of commercial 5G networks, and a lack of software infrastructures such as tools and models that facilitate 5G-enabled research, system prototyping, and experimentation. (1) Unlike its 4G predecessors, 5G encompasses more diverse technologies, for example, with spectrum ranging from sub-6GHz low band to mmWave high-band. This poses challenges in designing systems and services that can quickly adapt to changing 5G performance. The 5G use cases also have highly heterogeneous needs and requirements. This poses challenges for 5G deployments to meet and validate diverse service requirements end-to-end. (2) 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. Also, right now, mmWave 5G is only available in a few major cities, and supporting infrastructures such as 5G edge computing platforms have registered even less deployment. This limits researchers’ access to 5G. (3) Given that 5G is still in its early stage and experiences from various vertical domains are limited, the common software stack that supports building 5G research prototypes, as well as traffic models and tools that capture vertical’s performance, are largely missing.

The 5G-MeMU workshop is motivated by the above key challenges of understanding and optimizing operational 5G systems and services and conducting 5G-related research. Its goal is to bring together researchers, cellular network operators, equipment vendors, mobile device manufactures, vertical use case owners, and policymakers from academia, industry, and government for discussion of the challenges of unsolved issues for the 5G ecosystem, centered on practical experiences with 5G systems and services, and the state-of-the-art 5G and beyond research. This workshop solicits novel contributions on 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
  • Energy Analysis and Modeling of 5G Radio
  • Experiences in Designing, Implementing, and Deploying 5G Testbeds
  • Exploration of Open Architectures for 5G RAN and Core Networks
  • Machine Learning for Analyzing and Predicting 5G Traffic
  • Measurement-Driven and ML/AI Approaches for 5G Design and Optimization
  • Metrics, Tools, and Testbeds for 5G Edge
  • Performance Evaluation and Optimization of 5G 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 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

  • May 14 May 24, 2021

    Submission deadline

  • June 16 June 18, 2021

    Acceptance notification

  • July 2, 2021

    Camera-ready deadline

  • August 23, 2021

    Workshop day

Program Committee

  • Program Co-Chairs
  • Anna Brunstrom

    Karlstad University, Sweden

  • Bo Han

    George Mason University, US

  • Program Committee
  • Andra Lutu

    Telefonica, Spain

  • Anna Maria Mandalari

    Imperial College London, UK

  • Antonio de la Oliva

    University Carlos III of Madrid, Spain

  • Bengt Ahlgren

    RISE SICS, Sweden

  • Carla Fabiana Chiasserini

    Politecnico di Torino, Italy

  • Chi-Yu Li

    National Chiao Tung University, Taiwan

  • Dimitris Tsolkas

    Fogus, Greece

  • Francesco Gringoli

    University of Brescia, Italy

  • Giuseppe Caso

    Simula, Norway

  • Guan-Hua Tu

    Michigan State University, US

  • Gyan Ranjan

    Ericsson, US

  • Harilaos Koumaras

    NCSR Demokritos, Greece

  • Kai Zeng

    George Mason University, US

  • Ozgu Alay

    University of Oslo, Norway

  • Paul Patras

    University of Edinburgh, UK

  • Pedro Merino

    University of Malaga, Spain

  • Rittwik Jana

    AT&T Labs, US

  • Simone Ferlin

    Ericsson, Sweden

  • Tingjun Chen

    Duke University, US

  • Valerio Frascolla

    Intel, Germany

  • Vincenzo Mancuso

    IMDEA Networks, Spain

  • Yang Zhang

    Google, US

  • Ying Wang

    Virginia Tech, US

  • Yuanjie Li

    Tsinghua University, China