WCNC 2022 - The 2022 IEEE Wireless Communications and Networking Conference (WCNC 2022)
Topics/Call fo Papers
WCNC 2022 will include technical sessions, tutorials, workshops, and technology and business panels. You are invited to submit papers, and proposals for panels, tutorials, and workshops, in all areas of wireless communications, networks, services, and applications. The proposals for panels, tutorials, and workshops should be sent to the appropriate Chairs listed below.
The submissions of technical papers should be made on EDAS in the following four tracks. Submissions should be in PDF and are limited to 6 pages, double column, 10 point font.
TRACK 1: PHYSICAL LAYER AND COMMUNICATION THEORY
Chair: Ayfer Ozgur, Stanford University, USA
Co-Chairs: Luca Sanguinetti, Pisa University, Italy
Xu (Judy) Zhu, University of Liverpool, UK
Millimeter-Wave and Terahertz
Next Generation MIMO and Massive MIMO
Short Packet and Finite Block Length Communications
Energy Harvesting and Low Energy Communication
Waveforms and Modulation
Channel Modeling and Estimation
Coding Theory
Low Resolution Communication
Relaying and Self-Backhauling
Physical Layer Security
Free Space Optical Communication
Feedback and Two-Way Communication
Information Theory and Channel Capacity
Fundamentals of Age of Information
Stochastic Geometry
Iterative Techniques, Detection, and Decoding
Wireless Power and Information Transfer
Propagation and Interference Modeling
Antennas and RF
TRACK 2: NETWORKING AND MAC
Chair: Dusit Niyato, Nanyang Technological University, China
Co-Chairs: Dinh Thai Hoang, University of Technology Sydney, Australia
Nikolaos Pappas, Linköping University, Sweden
Scheduling and Opportunism
Resource Management
URLLC, Time Sensitive, and Deterministic Networking
Network Slicing
SDN/NFV
Routing and Congestion Control
Multihop Networks
Multiple Access and Contention
Cooperative Communication and Networking
Cognitive Radio and Networking
Spectrum Sensing, Access, and Sharing
Wireless Network Security and Privacy
Backscatter Communications
Edge Computing, Edge Intelligence and Fog Networks
Network Economics
Energy-Efficient and Green Networking
RAN Data Collection and Storage Enhancement
Unlicensed Spectrum and Licensed/Unlicensed Inter-Networking
Age and Value of Information for Networks
Semantics of Information
TRACK 3: MACHINE LEARNING AND OPTIMIZATION FOR WIRELESS SYSTEMS
Chair: Deniz Gunduz, Imperial College London, UK
Co-Chairs: Marwa Chafii, ENSEA, France
Sheng Zhou, Tsinghua University, China
Deep Learning for Wireless
Reinforcement Learning for Wireless
Distributed Learning for Wireless
Unsupervised and Generative Models
Communication-inspired Machine Learning (ML)
End-to-end ML over Wireless Channels
Scalability of ML for Wireless
Performance Analysis of ML Techniques for Wireless
Implementation of ML Algorithms for Wireless
Cross-Layer Optimization
Data-driven Network Modelling and Optimization
Networking Architectures for Artificial Intelligence
Load Balancing and Cell/Band Association
Bayesian Optimization for Wireless
Convex and Non-Convex Optimization for Wireless
Semantic and Goal-Oriented Communications
Game-Theoretic Approaches to Wireless
Datasets for Wireless Systems and Channels
TRACK 4: EMERGING TECHNOLOGIES, STANDARDS, AND APPLICATIONS
Chair: Sofie Pollin, KU Leuven, Belgium
Co-Chairs: Yasaman Ghasempour, Princeton University, USA
David Lopez-Perez, Huawei Technologies, France
Experiments, Prototypes, and Testbeds
Sensing and Localization
Joint Radar and Communications
Visible Light and Optical Communication
Connected Vehicles
UAVs and NonTerrestrial Networks
Satellite and Deep Space Communications
Intelligent Beamforming Relays
Reconfigurable Intelligent Surfaces
Molecular and Nano Communications
IoT and Machine Type Communications
Software Defined Radio and Networks
5G NR and 6G standardization
O-RAN
802.11 and next-generation Wi-Fi
E-health and Mobile Health
Blockchain and Cryptography
Quantum Communications
Innovative implanted and wearable devices
Networking support for virtual and augmented reality
Full-duplex communication networks
IMPORTANT DATES
Full Paper Submission:15 September 2021
Notification of Acceptance: 01 December 2021
Camera Ready Submission: 15 January 2022
The submissions of technical papers should be made on EDAS in the following four tracks. Submissions should be in PDF and are limited to 6 pages, double column, 10 point font.
TRACK 1: PHYSICAL LAYER AND COMMUNICATION THEORY
Chair: Ayfer Ozgur, Stanford University, USA
Co-Chairs: Luca Sanguinetti, Pisa University, Italy
Xu (Judy) Zhu, University of Liverpool, UK
Millimeter-Wave and Terahertz
Next Generation MIMO and Massive MIMO
Short Packet and Finite Block Length Communications
Energy Harvesting and Low Energy Communication
Waveforms and Modulation
Channel Modeling and Estimation
Coding Theory
Low Resolution Communication
Relaying and Self-Backhauling
Physical Layer Security
Free Space Optical Communication
Feedback and Two-Way Communication
Information Theory and Channel Capacity
Fundamentals of Age of Information
Stochastic Geometry
Iterative Techniques, Detection, and Decoding
Wireless Power and Information Transfer
Propagation and Interference Modeling
Antennas and RF
TRACK 2: NETWORKING AND MAC
Chair: Dusit Niyato, Nanyang Technological University, China
Co-Chairs: Dinh Thai Hoang, University of Technology Sydney, Australia
Nikolaos Pappas, Linköping University, Sweden
Scheduling and Opportunism
Resource Management
URLLC, Time Sensitive, and Deterministic Networking
Network Slicing
SDN/NFV
Routing and Congestion Control
Multihop Networks
Multiple Access and Contention
Cooperative Communication and Networking
Cognitive Radio and Networking
Spectrum Sensing, Access, and Sharing
Wireless Network Security and Privacy
Backscatter Communications
Edge Computing, Edge Intelligence and Fog Networks
Network Economics
Energy-Efficient and Green Networking
RAN Data Collection and Storage Enhancement
Unlicensed Spectrum and Licensed/Unlicensed Inter-Networking
Age and Value of Information for Networks
Semantics of Information
TRACK 3: MACHINE LEARNING AND OPTIMIZATION FOR WIRELESS SYSTEMS
Chair: Deniz Gunduz, Imperial College London, UK
Co-Chairs: Marwa Chafii, ENSEA, France
Sheng Zhou, Tsinghua University, China
Deep Learning for Wireless
Reinforcement Learning for Wireless
Distributed Learning for Wireless
Unsupervised and Generative Models
Communication-inspired Machine Learning (ML)
End-to-end ML over Wireless Channels
Scalability of ML for Wireless
Performance Analysis of ML Techniques for Wireless
Implementation of ML Algorithms for Wireless
Cross-Layer Optimization
Data-driven Network Modelling and Optimization
Networking Architectures for Artificial Intelligence
Load Balancing and Cell/Band Association
Bayesian Optimization for Wireless
Convex and Non-Convex Optimization for Wireless
Semantic and Goal-Oriented Communications
Game-Theoretic Approaches to Wireless
Datasets for Wireless Systems and Channels
TRACK 4: EMERGING TECHNOLOGIES, STANDARDS, AND APPLICATIONS
Chair: Sofie Pollin, KU Leuven, Belgium
Co-Chairs: Yasaman Ghasempour, Princeton University, USA
David Lopez-Perez, Huawei Technologies, France
Experiments, Prototypes, and Testbeds
Sensing and Localization
Joint Radar and Communications
Visible Light and Optical Communication
Connected Vehicles
UAVs and NonTerrestrial Networks
Satellite and Deep Space Communications
Intelligent Beamforming Relays
Reconfigurable Intelligent Surfaces
Molecular and Nano Communications
IoT and Machine Type Communications
Software Defined Radio and Networks
5G NR and 6G standardization
O-RAN
802.11 and next-generation Wi-Fi
E-health and Mobile Health
Blockchain and Cryptography
Quantum Communications
Innovative implanted and wearable devices
Networking support for virtual and augmented reality
Full-duplex communication networks
IMPORTANT DATES
Full Paper Submission:15 September 2021
Notification of Acceptance: 01 December 2021
Camera Ready Submission: 15 January 2022
Other CFPs
Last modified: 2021-07-24 22:13:39