Communications and Networking to Realize a Smarter World
The 27th Annual Wireless and Optical Communications Conference (WOCC 2018) will serve as an international forum for experts from academia, industry, and government to exchange their novel ideas and latest results on cutting-edge researches and developments in the areas of wireless communications and networking, innovative network technologies and architectures, optical communications and networking, photonics, internet of things, as well as big data analytics and machine learning for communications and networking. Original technical papers are solicited to the following four symposia. They are
- Wireless Communications and Networking Symposium
- Emerging Networks and Future Internet Symposium
- Optical Communications and Photonics Symposium
- Big Data Analytics and Machine Learning Symposium
Both (1) 2-page Extended Abstracts, or (2) 3-5 page Full Papers are welcome. A
Best Paper will be awarded to a full paper in each symposium.
Topics of interest include but are not limited to the following:
Wireless Communications and Networking Symposium
- Innovation and field trials of 5G
- PHY/MAC technologies for 5G
- mmWave technologies for 5G
- MIMO technologies (massive MIMO, full dimension MIMO , etc.)
- Cross-layer design and radio resource management
- Multi-cell cooperation and interference management
- Mobile ad-hoc and wireless sensor networks
- Small cell and heterogeneous networks
- Cognitive radios and networks
- Green communications and networking
- Vehicular communication networks
- Wireless body area networks
- Emerging mobile applications and services
- Cloud/Fog radio access networks
- Wireless network modeling and performance analysis
- Wireless technologies for IoT
- Wireless technologies for smart cities, smart communities and smart homes
Emerging Networks and Future Internet Symposium
- Future internet and next-generation network architectures
- Networking technologies for IoT
- IoT applications
- Protocols and architectures for IoT
- Access systems and networks
- Hybrid wireless-optical networks
- Network security, privacy, survivability, and network resilience strategies
- Provisioning, monitoring, and management of IP services
- Overlay networks and P2P networking
- Social networking and computing
- Routing issues and technologies
- Network steganography and steganalysis
- Cloud computing
- Edge computing
- Tactile internet
- Network virtualization (NV) and services
- Software-defined networking (SDN)
- Network function virtualization (NFV) for next generation networks
- Data center networks
- Information-centric networks
- Network science
Optical Communications and Photonics Symposium
- Fibers and fiber devices/amplifiers/lasers
- Advanced optical components and modules
- Waveguide and optoelectronic devices
- Advanced optical modulation and detection schemes
- High-speed optical transmissions
- Optical network applications and services
- Optical access networks and fixed-mobile convergence
- Optical interconnection
- Nano-photonics and micro/nano optics
- microwave photonics
- Optical fiber sensors and networks
- Quantum and nonlinear optics
- Visible light communications
|
|
Big Data Analytics and Machine Learning for Communications and Networking Symposium
|
- Machine learning models and algorithms for communications and networking
- Machine learning for intelligent IoT
- Big data models and algorithms
- Big data visualization and representation
- Semantic/context aware multimedia representation and processing
- Big data, IoT, and multimedia search and mining
- Big data, IoT, and multimedia service architectures
- Big data, IoT, and multimedia security and privac
- Real-time coding, streaming of large volume interactive multimedia
- Cloud-based big data, IoT, and multimedia computing and communications
- Big data analytics in social media and IoT
- Big data applications in healthcare, finance, business, education, etc.
- Sensor and sensing technologies for IoT
- Scalable data management for big data and IoT
- Big data analytics and machine learning for network managements
- Big data analytics and machine learning for QoS improvements in communications and networking
- Big data analytics and machine learning for self-organized networks
- Big data analytics and machine learning for adaptive and accurate resource allocation
