The LATINCOM 2023 Organizing Committee is inviting submissions of original, unpublished, high-quality research papers focused on (but not limited to) the following topics of interest: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
– Networks and communications 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 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
– Ultravilet 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 techniques in 5G/B5G/6G
– 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/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 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/6G and network slicing
– AI and ML for virtualized and software-defined networks
– AI, neural networks, and deep learning for network management
– Big data for smart cities and smart homes
– Big data for cloud computing and networking
– Big data for communications and networking
– Big data for smart grids
– Big data with IoT and cyber-physical systems
– 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 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, fog and edge computing
– Internet-of-Things
– New Space applications
– Smart cities and urban computing
– Smart grid communications
– Social networks, crowdsourcing, and crowdsensing
– Tactile Internet