Conference Information
LATINCOM 2024: IEEE Latin-American Conference on Communications
Submission Date:
Notification Date:
Conference Date:
Medellin, Colombia
CORE: c   QUALIS: b4   Viewed: 22593   Tracked: 5   Attend: 4

Call For Papers
The LATINCOM 2024 Organizing Committee is inviting submissions of original, unpublished, high-quality research papers focused on (but not limited to) the following topics of interest:

Mobile and Wireless Networking

    Cellular systems, 4G/5G/B5G/6G
    Cognitive radio networks
    Device-to-device/machine-to-machine communications
    Green wireless networks
    Large-scale LEO satellite networking
    Opportunistic wireless networks
    Pervasive and wearable computing and networking
    Reconfigurable wireless networks
    Software-defined wireless networks
    Underwater wireless networks
    Vehicular networks
    Wireless network virtualization
    Wireless multimedia networks
    WLAN, WPAN, and other home/personal networking technologies
    Wireless networking techniques based on AI

Communication Services, Software and Multimedia Applications

    Cooperative networking for streaming media content
    E-health, E-governance, E-agriculture, etc.
    High quality service provisioning for multimedia applications
    Location-based services
    ML techniques for video delivery and service
    ML techniques for multimedia content analysis
    Multimedia cloud, streaming, multicast and broadcast services
    Multimedia fog/edge computing and communication
    QoE and QoS
    Quality-oriented routing algorithms
    Real time communication services
    Service orchestration and management
    Service security and privacy
    Triple and quadruple play services

Communication QoS, Reliability and Performance Modeling

    Networks and communication systems modeling and performance evaluation
    Reliability of systems and networks
    Traffic measurement, modeling, visualization, and engineering
    Security and trust in network design
    Integration aspects in IoT and Big Data systems
    Design of cloud, edge and other distributed computing networks
    QoS and network efficiency

Optical Networks

    AI, ML and data analytics for optical systems and networks
    Elastic, flexible rate and flexi-grid optical networks
    Free-space optical networks
    Optical network control and management
    Optical network survivability and availability
    Optical and wireless convergence
    Routing and spectrum assignment for optical networks
    Software defined optical networks
    Ultraviolet communications and networks
    Underwater optical communications
    Virtualization and slicing in optical networks
    Visible light communications

Communications Theory & Signal Processing

    Communication theory of ad-hoc and sensor networks
    Communication theory of distributed and edge computing
    Communication theory of networks and cross-layer design
    Multi-antenna, multi-user and multi-node systems
    Radio communications
    Satellite & space communications
    Signal processing for all aspects of communications and networking
    Theoretical aspects of blockchain and ML in networks

Next-generation Networking and Internet

    5G/B5G/6G architecture
    Blockchain in next generation communications and networks
    Content-centric networking
    Centralized-RAN and Cloud-RAN architectures
    Future Internet and next-generation networking architectures
    High speed architectures for next generation routers/switches
    Management of service-oriented control plane in 5G/B5G
    Network functions virtualization
    Next-generation access networks
    Next-generation IP multimedia subsystem
    Next-generation network management and control
    Parallel architectures for next generation routers/switches
    Software-defined networking

AI, Big Data and ML for Networking

    AI and ML for network slicing, virtualization, and network management
    Big data for all aspects of communications and networking
    Cloud and network data analytics, modeling and visualization
    Cooperative learning for software-defined and virtualized networks
    Data analytics for QoS and traffic classification
    Data analytics for faults and root-cause analysis
    Data-driven network management
    ML based distributed training and learning over-the-air
    Operational analytics and intelligence
    Predictive analytics and real-time analytics

Selected Areas in Communications

    Blockchain in communications and networks
    Cloud, fog and edge computing
    Internet-of-Things and Internet-of-everything
    New Space applications
    Smart cities and urban computing
    Smart grid communications
    Social networks, crowdsourcing, and crowdsensing
    Tactile Internet
    Carbon-aware networking
Last updated by Dou Sun in 2024-04-11
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