Conference Information

LATINCOM 2024: IEEE Latin-American Conference on Communications

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Submission Date:
2024-08-05 Extended
Notification Date:
2024-09-06
Conference Date:
2024-11-06
Location:
Medellin, Colombia
Years:
16
CORE: c   QUALIS: b4   Viewed: 33729   Tracked: 5   Attend: 4

Call For Papers

LATINCOM 2024 (IEEE Latin-American Conference on Communications) is a CORE C / QUALIS B4 conference held in Medellin, Colombia on 2024-11-06. The paper submission deadline is 2024-08-05 (extended). Acceptance notifications are sent on 2024-09-06.

The LATINCOM 2024 Organizing Committee is inviting submissions of original, unpublished, high-quality research papers focused on (but not limited to) the following topics of interest: Mobile and Wireless Networking Cellular systems, 4G/5G/B5G/6G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 UAV 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

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