Conference Information
LATINCOM 2020: IEEE Latin-American Conference on Communications
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CORE: c   QUALIS: b4   Viewed: 13544   Tracked: 4   Attend: 3

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Call For Papers
The LATINCOM 2020 Organizing Committee is inviting the submission of original, unpublished, high-quality research papers focused on (but not limited to) the following topics of interest: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
– Cognitive radio networks
– Device-to-device/machine-to-machine communications
– Green wireless networks
– 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 edge computing and fog 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 modelling
– Networks and communications performance evaluation 
– Reliability of systems and networks
– Traffic measurement, modelling, visualization, and engineering
– Security and trust in network design
– Integration aspects in IoT and Big Data systems
– Design of cloud, grid and distributed computing networks
– QoS and network efficiency

Optical Networks
– AI and ML for optical systems and networks
– Big data driven optical networking
– Data analytics for optical networks
– Elastic, flexible rate and flexi-grid optical networks
– Free space optical networks 
– Optical network control and management
– Optical network survivability and availability
– Optical vehicular networks
– 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 Systems & 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 techniques in 5G/B5G 
– Signal processing for QoS and QoE based applications
– Signal processing for smart grid and green communications
– Signal processing for sensor networks and IoT
– Signal processing for software defined and cognitive radio
– Signal processing for power line communications
– Signal processing for millimeter and tera-Hz communication
– Theoretical aspects of blockchain and ML in networks

Next-generation Networking and Internet
– 5G 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 anomaly-intrusion-attack detection/prevention
– Next-generation flow management
– 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 5G/B5G and network slicing 
– AI and ML for virtualized and softwarized networks 
– AI, neural networks, and deep learning for network management
– Big data for smart cities and smart homes
– Big data in, with, and for cloud computing and networking
– Big data in, with, and for communications and networking
– Big data with and for smart grids
– Big data with IoT and cyber-physical systems
– Cloud and network data analytics, modelling and visualization
– Cooperative learning for softwarized and virtualized networks
– Data analytics to QoS and traffic classification
– Data analytics to faults and root-cause analysis
– Data-driven management of virtualized infrastructure
– Data-driven management of IoT and cyber-physical systems
– Data-driven management of SDN and data centers
– 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, edge and fog computing
– Internet-of-Things
– Smart cities and urban computing
– Smart grid communications
– Social networks, crowdsourcing, and crowdsensing
– Tactile Internet
Last updated by Dou Sun in 2020-08-25
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