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Ubiquitous Communications and Network Computing (UBICNET) is a revolutionary concept that aims to provide pervasive and reliable communication and computing services available anytime and anywhere. UBICNET has drawn significant interests from both academia and industry and continues to attract tremendous research efforts due to its promising new business opportunity in information technology and engineering. Furthermore, the roll out of early fifth generation (5G) networks and massive ongoing research makes UBICNET more interesting and highly importance. From communication to computing whether it is Internet of Things (IoT), GPU, Fog and Edge Computing, Cloud Computing to enhanced mobile broadband data and low latency, the UBICNET covers entire breadth of interesting and emerging areas.
| 4G Cellular Communications and Networks | Massive MIMO based backhaul/fronthaul for ultra-dense small cell deployment |
| 5G Cellular Communications and Networks | Multiple access techniques and air interfaces (CDMA, TDMA, FDMA, OFDMA, NOMA) |
| 5G/6G networks and beyond | Massive network data analytics |
| AI-enabled radio communications | Multimedia Systems and Services |
| AI/ML to enhance QoS/QoE | Multimedia cloud services |
| Architectures for cooperative communications and ubiquitous computing | Multimedia streaming, multicast and broadcast services |
| Adaptive modulation and waveform design | MIMO satellite communications |
| Applications and services (e.g., cognitive networking in TV whitespace, adaptation with LTE networks such as LTE unlicensed, and integration with other emerging techniques such as massive MIMO, NOMA, intelligent reflecting surface, and full-duplex) | Modeling and performance evaluation for AI-enabled radio and networks |
| Antennas Technology for all communications | Next-generation Internet applications and service |
| Antenna for satellite communications | Next-generation networking protocols |
| Backhaul/fronthaul requirements, design, challenges, etc. | OFDM and MIMO for optical systems |
| Backscatter Communication | Optical wireless and fibre systems & networks for 6G and beyond |
| Centralized-RAN, Cloud-RAN, and Fog-RAN architectures | Optical network testbeds and experiments |
| Channel estimation and synchronization | Optical wireless channel characterization |
| Coding theory, modulation, diversity techniques and signal processing for wireless and optical systems | Optical and wireless network convergence and mobile x-haul |
| Communication theory aspects of distributed and edge computing | Physical-layer security in cognitive radio networks |
| Communication theory aspects of networking and cross-layer design | Performance evaluation techniques including modeling, simulations and testbeds for communication networks |
| Cooperative communications | Performance analysis of wireless communication systems |
| Cooperative networking for streaming media content | Quantum communication systems and networking |
| Communications software in vehicular communications | Network design, operation, management, and automation for maximizing QoS/QoE |
| Coexistence of heterogeneous wireless networks | Network function virtualization |
| Cloud computing, architecture, services and applications | Near-Earth satellite communications |
| Cross-layer modeling, design, and optimization | Network/service orchestration and management |
| Cyber-physical systems, modeling and analysis of smart grid systems | Radio-over-fiber |
| Cyber-physical security in smart grid systems | Reconfigurable wireless networks |
| Deep learning techniques for cognitive radio and networks | Terrestrial and Non terrestrial Communications and networks |
| Deep learning enabled end-to-end communication systems | Satellite and space communications and networking |
| Design and evaluation of Software Defined Networking (SDN) and Network Function Virtualization (NFV) | Satellite-terrestrial integrated networks |
| Design and evaluation of microservices-based networking for 5G/6G-enabled edge networks | Satellite communications and Unmanned flying platforms such as HAPs/MAPs/LAPs, etc. |
| Design and evaluation of application/service-oriented Networking | Service overlay networks |
| Detection and estimation theory | Signal processing techniques in B5G/6G |
| Device-to-device and machine-type communications | Software-defined Radio Access Network (RAN) |
| Diversity and fading countermeasures | Slice programmability, modeling, composition algorithms and deployment |
| Energy efficient and green PHY layer design | Signal processing for data analytics and machine learning |
| Fog computing, architecture, security, Roof computing, | Semantic communication systems |
| Feedback in communications systems | Sensor networks and applications |
| Free-space optical (FSO) communications and networks | Spectrum sensing, spectrum sharing, and spectrum learning and prediction |
| FSO-RF integration | Unmanned Aerial Vehicles and Drone Communication |
| GPU implemenation | UAV networks |
| Interference management in cellular systems, wireless backhaul/fronthaul networks | Underwater wireless networks |
| Integration of renewables, storage units and electric vehicles into smart grid systems | Ultra-wideband communication systems |
| Intelligent signal processing for communication systems | Usability of higher frequency bands for backhaul/fronthaul design (Free Space Optical (FSO)/mmwave based communications) |
| Integrated control of network and computing resources to enhance QoS/QoE | Vehicle-to-grid and grid-to-vehicle communications |
| Internet of Things (IoT), IoE, IIOT, Internet in Space | Vehicular networking (IoV/V2V/V2I/V2X) |
| Industrial automation, industry 4.0 and 5.0 | WLAN, WPAN, and other home/personal networking technologies |
| Localization and navigation techniques | Waveform design, modulation, and interference aggregation for cognitive radio and AI-enabled networks |
| Millimeter-wave and Terahertz communications | Wireless communications powered by energy harvesting |
| MIMO, multi-user MIMO, massive MIMO, and intelligent surfaces | Wireless Communications through reconfigurable intelligent surfaces |
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.
All accepted authors are eligible to submit an extended version in a fast track of:
Additional publication opportunities:
