Welcome to UNet

Call For Papers

The sixth international symposium on Ubiquitous Networking (UNet’21) highlights new trends and findings in hot topics related to ubiquitous computing/networking. This event intends to bring together researchers and practitioners to present and discuss their recent progresses in all major areas of ubiquitous networking. The UNet’21 program will host special talks addressed by distinguished keynote speakers and highly reputed visionary experts, and will feature technical papers, tutorials, special sessions, and workshops.

Papers delivered at UNet 2021 will be published by Springer and indexed by Springer-Link. They will also be submitted to SCOPUS, ISI, DBLP, Google Scholar, and other leading indexing services. Papers of particular merit will be recommended for a possible special issue in international journals (discussions are underway with several international journals for publishing the accepted papers). A PDF version of the call for papers can be found here. The conference invites two types of submissions: Full Technical Papers (up to 12 pages), and Short Technical Papers (up to 8 pages). A detailed description of papers submission procedure is available via this link. UNet 2021 will features thematic content, but not limited to, across the following tracks:

Track 1: Ubiquitous Communication Technologies and Networking

  • Millimeter-Wave and Terahertz communications
  • Theoretic foundations of intelligent surfaces for wireless networks
  • Algorithms and protocols design for intelligent surfaces
  • Modulation, coding, and diversity techniques 
  • OFDM, MIMO, multi-user MIMO, and massive MIMO
  • Channel estimation, characterization, and synchronization techniques
  • Multiple access techniques in wireless networks
  • Optical wireless access networks
  • Visible light communications and networks
  • Space, maritime and underwater communications
  • Satellite communication and networks
  • Heterogeneous and small-cell networks
  • Network slicing and quality of service provisioning
  • Cognitive radio, SDR and Reprogrammable MAC and PHY layers
  • Optical wireless sensing and monitoring
  • Optical switching technologies, devices, and architectures
  • Energy harvesting and green wireless communications
  • Mesh, relay, sensor and ad hoc networks
  • Seamless inter-networking, self-organization and self-healing
  • Routing in ubiquitous networks
  • Mobility, localization, navigation, and handoff management
  • Wireless broadcast, multicast and mobile streaming
  • Dynamic bandwidth allocation in 5G, B5G and Pervasive Systems

Track 2: Tactile Internet and Internet of Things

  • Internet connectivity for IoT
  • Ultra Reliable Low Latency Communications (URLLC)
  • Fundamentals and characterization of IoT and IoE communications
  • PHY/MAC Design for IoT, URLLC and Tactile Internet
  • Tactile Internet Use-Cases and Scenarios
  • Internet of Skills
  • Robotic Communications and Control Systems
  • Resource Management for IoT, URLLC and Tactile Internet
  • Network Slicing for IoT, Tactile Internet and URLLC
  • Edge and cloud computing for IoT
  • Blockchain/IoT convergence and interaction
  • Mobility, localization and management aspects of IoT
  • Scalable infrastructures, architectures and platforms for IoT
  • Communications technologies: 5G, LoRa, Sigfox, LTE-M, NB-IoT, IEEE 802.11ah, etc.
  • Crowdsensing and sourcing, and social IoT
  • Game theory, AI and machine learning for Tactile Internet and URLLC
  • Autonomous vehicles and self-driving
  • Unmanned-Aerial-Vehicles (UAV) platforms and networking
  • Innovative applications (Industry 4.0, Healthcare, Military, Supply Chains, Environment, Agriculture, Smart cities, Education, …)
  • Tactile Internet Prototypes, Test-beds and Demos
  • Embedded Systems, wearables devices, and Body Sensor Networks
  • Standardization, regulation and industrial efforts for IoT
  • Business models, monetization and ecosystems of IoT

Track 3: Mobile Edge Networking and Fog-Cloud Computing

  • Mobile cloud networking, architectures, and platforms
  • Cloud Radio and Fog-based Access Networks
  • Energy efficient resource allocation for cloud-based systems
  • Resources management, provisioning, and migration in cloud systems
  • Cloud data storage and management models
  • Network and service functions virtualization, and programmable infrastructures
  • SDN, objects abstraction and virtualization
  • Fog and Edge computing
  • X As A Service in ubiquitous clouds
  • Big Data analytics in clouds
  • Techniques and methods for cloud design and analysis
  • Cluster and smart Grid
  • Cloud on Demand: agility and scalability
  • Fog-Cloud interactions and enabling protocols
  • Data centers and infrastructures
  • Interaction between the edge and the cloud
  • Risk compliance and governance for cloud networking
  • Security, privacy and reliability in ubiquitous cloud computing
  • Cloud service-level agreements and cloud context-level agreements
  • Virtual network management and orchestration

Track 4: Artificial Intelligence-Driven Communications

  • Global intelligence: paradigms, visions and enablers
  • Intelligentizing Internet of Everything, Tactile Internet, and Internet of Skills
  • Deep learning for wireless communications
  • Federated learning for wireless communications
  • Machine learning and data mining
  • Artificial intelligence and decision support systems
  • Swarm Intelligence Techniques for Wireless Networking (particle swarm optimization, Ant colony optimization, etc.)
  • Nature-inspired Optimization Techniques for Dense/Ultra-Dense Networks: Game Theory, Mean-Field, Particle Swarm Optimization, etc.
  • Game-theoretic models and application in pervasive systems
  • AI-Driven Zero Touch Network and Service Management for 5G and 6G
  • Transfer Learning, Lifelong Learning, Federated Learning and Reinforcement Learning for Wireless and Mobile Networks

Track 5:Data Engineering, Cyber Security and Pervasive Services

  • Data engineering models and data science
  • Big Data analytics and applications in pervasive systems and 5G
  • Data classification, retrieval, clustering, and visualization
  • Temporal, spatial, sensor, and multimedia databases
  • Distributed, Parallel, and Peer-to-Peer Databases
  • Novel blockchains applications
  • blockchain engineering and design
  • consensus protocols for blockchain
  • Context-aware and profile-aware pervasive systems
  • Data Grids, Data Warehousing, and OLAP
  • Signal, image, and video processing for pervasive systems
  • Large-scale investigations in large networks and Big Data
  • Availability, privacy, authentication, trust, access control, and key management
  • Risk analysis and management in cyber security
  • Data hiding, extraction, and recovery technique
  • Cyber security and defense in Big Data
  • Bio-inspired security solutions
  • Provisioning, assessing and controlling QoS, QoE, QoC and QoI in Pervasive Environments
  • Cross-layer design and emerging protocols for Pervasive Networks
  • Data economics and Business Models of Pervasive Systems
  • User interfaces, user-machine interactions
  • Multimedia streaming and ICN enabled mobile video delivery
  • Provisioning user QoE in ICN and pervasive systems
  • Innovative applications (Industry 4.0, Healthcare, Military, Supply Chains, Environment, Agriculture, Smart cities, Education, …)

Submission Guidelines

Papers should contain original material, which is not currently under review in any other conference or journal and has not been previously published. All submissions should be written in English with a maximum paper length of 12 printed pages standard LNCS format including figures, without incurring additional page charges (maximum 2 additional pages, with over-length page fee).

All submitted papers must conform to the LNCS Formatting Guidelines. Authors are invited to use either the LNCS’s Latex template or MS Word Template available via this Link:


Only PDF files will be accepted for the review process and all submissions must be done through EDAS online submission system: https://edas.info/N27342. You are invited to submit papers in all areas related to ubiquitous networks and pervasive systems. Submit your proposal now!

Accepted and presented papers will be published in the conference proceedings and the Springer-Link Digital Library. They will also be indexed by leading Abstracting and Indexing (A&I) databases. They will mainly be indexed by


Papers of particular merit will be recommended for a possible special issue in an international journal. There will also be best papers awards.

Camera Ready

Step1: Paper formatting

  • Prepare your camera-ready pdf versions using either the LNCS’s Latex template or the MS Word Template available via this Link ;
  • Prepare the source file: A Latex .zip containing all material or the Microsoft Word file (.doc/.docx) ;
  • Proofread and check the layout of your manuscript (up to 14 pages) ;
  • Verify the following requirements:
    • The camera-ready pdf version should be with embedded fonts ;
    • It should be optimized for fast web viewing ;
    • The PDF should not contain page numbers ;
    • Do not insert any footers or headers ;
    • Do not use any PDF security features in submitted PDF files.

Step 2: Copyright form

Transfer the copyright on your paper to Springer. You can download and fill the form from this Link.

Step3: Submitting the necessary files via EDAS

Submission must be done via the conference submission system EDAS. The following material should be submitted separately

  • The filled and signed copyright form ;
  • The Camera-ready PDF version ;
  • The source file format (a Latex .zip containing all material or the Microsoft Word .doc is also required) ;
  • Video of your presentation :
    • Duration: up to 15 mn ;
    • Format: mp4 or Quicktime.

Publication Policy

Please note that final paper acceptance is conditional upon proper formatting (LNCS’s template compliant) and a satisfactory standard of English. At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. Please note that final paper acceptance is conditional upon:

  • One of the authors registers and one of the registered authors presents the paper ;
  • Payment is made and online copyright transfer form is signed and uploaded ;
  • The paper follows the LNCS template ;
  • The standard of English is satisfactory.

No-Show Policy

Springer Nature reserves the right to exclude a paper from distribution after the conference (including its removal from Springer Digital Library) if the paper is not presented at the conference.

Plagiarism policy and multiple submissions

Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference or journal at the same time (double submission). These matters are taken very seriously and the Springer publisher may take action against any author who engages in either practice.

If you have any questions about camera ready paper submissions or the program, please contact the Technical Program Chairs at unet21-chairs@edas.info.

Machine Learning Meets Complex Networks (MLCN)

From Computer Vision to Social Graphs

Complex systems are seen everywhere: Internet, brain systems, transportation networks, social interactions, natural images etc. These systems can be modeled as complex networks where nodes represent individuals, agents or pixels, and links illustrate the relations between nodes. Recently, machine learning techniques have witnessed a huge interest thanks to their capacity to solve complex systems problems. Medical imaging, text recognition, expression recognition and social network analysis are examples of applications where machine learning permits to deal with the large amount and the complexity of real-world data in order to make predictions then decisions.

The MLCN special session aims to bring together researchers to discuss recent advances and collect novel ideas on how machine learning algorithms and complex networks are applied to real life complex systems, from computer vision to social network analysis.

Topics of interest include, but are not limited to:

  • Graph neural networks
  • Brain and tissue networks
  • Image/video processing over graphs
  • Networks and epidemiology
  • Social networks analysis
  • Spectral graph theory
  • Machine learning for Language processing
  • Machine learning for speech enhancement
  • Machine learning in biomedical analysis
  • Machine learning for image/video analysis
  • Generative adversarial networks
  • Point cloud processing
  • Graph learning
  • Instance selection for graph construction

Submission and Publication

The paper format and review process for the MLCN special session are the same as for UNet regular papers.

Edas Submission link: https://edas.info/newPaper.php?c=27342&track=106261.

Important Dates

  • Submission deadline : April 18, 2021
  • Acceptance notification : May 01, 2021
  • Camera-ready & registration : May 05, 2021


  • Ahmed Drissi el maliani (contact me!), Mohammed V University, Rabat, Morocco.
  • Dounia Lotfi, Mohammed V University, Rabat, Morocco.