UNet 2018 will features thematic content across the following five tracks:

Track 1: Ubiquitous Communication Technologies and Networking

• Millimeter-Wave and Terahertz communications

• Modulation, coding, and diversity techniques 

• OFDM, MIMO, multi-user MIMO, and massive MIMO 

• Multiple access techniques in wireless networks

• Optical wireless access networks

• Visible light communications and networks

• Free space optical communications and networking

• Power line communication technologies

• Maritime, space and underwater communications

• Beyond 4G and 5G communications

• Heterogeneous and small-cell networks

• Satellite communication and networks

• Physical-layer secrecy and privacy

• Quality of service provisioning schemes

• Cognitive and flexible radio

• Channel estimation, characterization, and synchronization techniques

• Optical data center networking

• Radio-over-fiber

• Visible light positioning and navigation

• Ultraviolet communications and networks

• Optical wireless sensing and monitoring

• Optical switching technologies, devices, and architectures

• Energy harvesting and green wireless communications

• Software-defined mobile/wireless networks

• Mesh, relay, sensor and ad hoc networks

• Delay-tolerant and fault-tolerant networking

• Seamless inter-networking, self-organization and self-healing

• Routing in ubiquitous networks

• Resource management and optimization

• Integrated wireless/optical networks

• Mobility, localization, navigation, and handoff management

• Wireless broadcast, multicast and streaming

• Congestion and admission control

• Wireless BAN, PAN, LAN, MAN and WAN

• Dynamic bandwidth allocation in 4G, B4G, 5G and Pervasive Systems

• Provisioning, measuring and controlling QoS, QoE, QoC and QoI in Pervasive Environments

• Cross-layer design and emerging protocols for Pervasive Networks

Track 2: Ubiquitous Internet of Things: Emerging Technologies and Breakthroughs

• Internet connectivity for IoT

• Data architectures, brokering and management

• Security, privacy, trust, and access control for IoT

• Edge and cloud computing for IoT

• Mobility, localization and management aspects of IoT

• Internet of Things scalable infrastructures, architectures and platforms

• Beyond 4G and 5G involvement in IoT environment

• Innovative context aware IoT services and applications

• Crowdsensing and sourcing, and social IoT

• Incentive mechanisms for participatory crowdsensing/crowdsourcing applications

• Energy harvesting and green technologies for IoT

• Object naming in the IoT/IoE environments

• Fundamentals and characterization of IoE communications

• Multiple access protocols for IoT environment

• Resource management techniques for IoT environment

• Routing and control protocols for ultra-dense IoT environment

• Game theory and learning for IoT ubiquitous communications

• Identity management and object recognition

• Embedded Systems, wearables devices, and Body Sensor Networks

• Multi-sensor fusion in IoT

• Distributed computing and storage in IoT

• Data Fusion and management, and big data analytics for IoT

• Autonomous vehicles and self-driving

• Cooperative driving for autonomous vehicles

• Unmanned-Aerial-Vehicles (UAV) platforms and networking

• Standardization, regulation and industrial efforts for IoT

• Business models, monetization and ecosystems of IoT

• Lightweight communication protocols and data structures for IoT

• Radio Frequency Identification

• Low power chip/system design for IoT

• Integration of software defined networks with IoT

• Machine-to-Machine (M2M), Device-to-Device (D2D) communications

• Application-oriented solutions (Healthcare, Military, Supply Chains, Environment, Agriculture, Smart cities, Education, ...)

• Cyber Physical Systems design and networking

• Advanced technologies for dense and ultra-dense network deployment

• Clustering, topology control, coverage, and connectivity

Track 3: Mobile Edge Networking and Fog-Cloud Computing

• Mobile cloud networking, architectures, and platforms

• Cloud radio access networks

• Security, privacy and reliability for ubiquitous cloud computing

• Crowdsensing models and architectures

• 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

• Hybrid cloud integration

• X As A Service in ubiquitous clouds

• Resource management, optimization, and provisioning in the cloud

• Quality of Service for cloud applications

• Big Data analytics in clouds

• Virtualization aware networking

• Service modeling, specification, discovery, monitoring, control, composition, and brokering

• Techniques and methods for cloud design and analysis

• Cluster and smart Grid

• Vehicular and sensor cloud networks

• Consumer-centric applications and services using mobile edge platforms

• Cloud on Demand: agility and scalability

• Fog-based and Cloud Radio Access Networks

• Fog-Cloud interactions and enabling protocols

• Data centers and infrastructures

• Interaction between the edge and the cloud

• Cloud economics

• Risk compliance and governance for cloud networking

• Software development platforms and innovative applications

• Cloud service-level agreements and cloud context-level agreements

• Virtual network management and orchestration

Track 4: Data Engineering for Ubiquitous Environments

• Data engineering models

• Machine learning and data mining

• Deep learning

• Data science and big data

• Cloud, high performance, and scalable computing

• Multimedia streaming over mobile networks

• Collaborative streaming for Ubiquitous Networks

• On Demand video streaming

• ICN enabled mobile video delivery

• Provisioning user QoE in ICN

• Analytics for information centric networking decision in 5G

• Cyber security and defense in Big Data

• Big Data analytics and applications in pervasive systems

• Big Data platforms for 5G

• Data classification, retrieval, clustering, and visualization

• Knowledge discovery and transformation

• Artificial intelligence and decision support systems

• Formal methods, fuzzy logic, neural networks, genetic algorithms, and ant colony optimization

• Data query processing and optimization in databases

• Temporal, spatial, sensor, and multimedia databases

• Distributed, Parallel, and Peer-to-Peer Databases

• Ubiquitous data management

• Cooperation, competition, learning and autonomy in pervasive systems

• Context-aware and profile-aware pervasive systems

• Content caching/storage and dissemination in pervasive systems

• Adaptive, autonomic and context-aware computing

• Data Grids, Data Warehousing, and OLAP

• Economics in pervasive systems

• Signal, image, and video processing for pervasive systems

• Game-theoretic models and application in pervasive systems

Track 5: Cyber Security for Ubiquitous Communication

• Legal and policy issues in cyber security and defense

• Availability, privacy, authentication, trust, access control, and key management

• Formal and theoretical techniques of cyber security

• Incident response techniques in networked and distributed systems

• Security and privacy in wireless and mobile systems

• Cyber security engineering

• Intrusion Detection

• Risk analysis and management in cyber security

• Storage systems protection and forensics

• Economic and management aspects of cyber security and privacy

• Evidentiary aspects and forensics of digital crimes

• Cybercrime scenarios modeling, analysis, and investigation

• Hypothetical reasoning in cyber incident response

• Collaborative and distributed techniques for cyber defense and cyber investigation

• Active, adaptive, and intelligent defense systems

• Embedded security

• Evidence preservation, management, storage and reassembly

• Anti-forensics and anti-anti forensics prevention, detection, and analysis

• Multimedia security

• Traffic jamming and defenses

• Lightweight security techniques

• Large-scale investigations in large networks and Big Data

• Privacy and Security in Big Data

• Security and privacy in clouds

• Techniques for tracking and trace-back of attacks in ubiquitous systems 

• Data hiding, extraction, and recovery technique

• Security in distributed, virtual, and cloud environments

• Cyber security architectures

• Defense in depth

• Cybersecurity o