Subject: [Maprg] [5G-MeMu SIGCOMM Workshop] DEADLINE EXTENDED to May 24

From: Anna Brunström <[email-masked]>
Date: Sat, 15 May 2021 12:00:18 +0000

The paper submission deadline for the SIGCOMM workshop on 5G Measurements, Modeling, and Use Cases (5G-MeMU) has been extended to May 24.
So there is still time to submit your paper to the workshop!

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

Submission deadline: May 24

SIGCOMM is an online event this year, the workshop day is August 23.

Workshop website: https://conferences.sigcomm.org/sigcomm/2021/workshop-5g-memu.html

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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 https://memu-5g21.hotcrp.com.

*** Important Dates ***

Submission deadline: May 24, 2021
Acceptance notification: June 18, 2021
Camera-ready deadline: July 2, 2021
Workshop day: August 23, 2021

*** 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

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Professor Anna Brunstrom
Department of Mathematics and Computer Science
Karlstad University
651 88 Karlstad, Sweden
Phone:   +46 54 7001795
E-mail:  [email-masked]
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