会議情報

WCNC 2027: IEEE Wireless Communications & Networking Conference

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投稿締切日:
2026-09-15 残り 92 日
通知日:
開催日:
2027-04-05
開催地:
Panama City, Panama
開催回数:
25
CCF: c   CORE: b   QUALIS: a2   閲覧: 386123   フォロー: 311   参加: 92

論文募集

WCNC 2027 (IEEE Wireless Communications & Networking Conference) is a CCF C / CORE B / QUALIS A2 conference held in Panama City, Panama on 2027-04-05. The paper submission deadline is 2026-09-15.

The IEEE Wireless Communications and Networking Conference (WCNC) is a top-ranked, flagship conference of the IEEE Communications Society, bringing together researchers from academia, industry, and government. IEEE WCNC 2027 will be hosted in the warm and wonderful city of Panama, Panama and will be conducted in person, allowing attendees to fully benefit from the conference atmosphere and experience. Prospective authors are invited to submit their works in the form of research papers describing significant and innovative contributions to the field of wireless communications and networking, in accordance with the four technical tracks listed below. Accepted and presented papers will be published in the IEEE WCNC 2027 Conference Proceedings and submitted to IEEE Xplore. Proposals for half- or full-day tutorials and workshops are also invited in all communication and networking topics. Technical Tracks Track 1: Physical Layer and Communication Theory Track Co-Chairs Mark Flanagan, University College Dublin, Ireland Shuowen Zhang, Hong Kong Polytechnic University, China Ming Zeng, Université de Laval, Canada Topics Antennas and RF Channel Modeling and Estimation Coding Theory and Techniques Detection and Estimation Theory Energy Harvesting and Low Energy Communication Feedback and Two-Way Communication Free Space Optical Communication Holographic Surfaces and Reconfigurable Intelligent Surfaces Information Theory and Electromagnetic Information Theory Integrated Sensing and Communications Iterative Techniques for Detection and Decoding Joint Source-Channel Coding and Cross-Layer Design Low-Latency and Short Packet Communications Millimeter-Wave and Terahertz MIMO, Massive MIMO and Cell-Free Massive MIMO Multiple Access and Grant-Free Access Near-Field Communication and Sensing Physical Layer Security Propagation and Interference Modeling Reconfigurable Antennas and Fluid Antennas Relaying and Self-Backhauling Semantic Communications Sparse Signal Processing for Wireless Communications Waveforms and Modulation Wireless Information and Power Transfer Track 2: Medium Access Control and Networking Track Co-Chairs: Ramón Agüero, University of Cantabria, Spain Shuai Han, Harbin Institute of Technology, China Ayman Radwan, Instituto de Telecomunicações, Portugal Topics Age and Value of Information for Networks Backscatter Communications Cognitive Radio and Networking Cooperative Communications and Networking Edge Computing, Edge Intelligence, and Fog Networks Emerging Medium Access Schemes in the 5G and Beyond Energy-Efficient and Green Networking Load Balancing and Cell/Band Association IoT Networks and Protocols Low-Power Wireless Networks Multiple Access and Contention Multihop Networks Network Economics Network Slicing ORAN Programmability of MAC and Network Functions RAN Data Collection and Storage Enhancement Resource Allocation for Wireless Communications and Networks Resource Management Resource Orchestration for Positioning, Navigation, & Timing Systems Routing and Congestion Control Scheduling and Opportunistic Communications SDN/NFV Spectrum Sensing, Access, and Sharing Unlicensed Spectrum and Licensed/Unlicensed Inter-Networking URLLC, Time Sensitive, and Deterministic Networking Wireless Network Security and Privacy Track 3: Machine Learning and Optimization for Wireless Systems Track Co-Chairs: Sinem Coleri, Koc University, Türkiye M. Carmen Aguayo, Universidad de Málaga, Spain Hina Tabassum, York University, Canada Topics Bayesian Optimization for Wireless Communications Communication-inspired Machine Learning Convex and Non-Convex Optimization for Wireless Communications Data-driven Network Modelling and Optimization Datasets for Wireless Systems and Channels Deep Learning for Wireless Communications Deep Unfolding for Wireless Communications and Networks Distributed Learning and Federated Learning for Wireless Communications Distributed Optimization for Wireless Communications End-to-end Machine Learning over Wireless Channels Game-Theoretic Approaches to Wireless Communications Implementation of Machine Learning Algorithms in Wireless Networks Large Language Models and Generative AI for Wireless Systems Machine Learning Methods for Wireless Localization Networking Architectures for Artificial Intelligence Online Learning for Wireless Networks Performance Analysis of ML Techniques for Wireless Communications Reinforcement Learning for Wireless Communications Scalability of ML for Wireless Communications Semantic and Goal-Oriented Communications Transfer Learning for Wireless Communications and Networks Unsupervised and Generative Models Track 4: Emerging Technologies, Network Architectures, and Applications Track Co-Chairs: M. Fatima Domingues, Khalifa University, UAE Swades De, Indian Institute of Technology Delhi, India Lina Zhu, Xidian Univeristy, China Topics 5G NR and 6G Standardization 802.11 and Next-Generation Wi-Fi AI-RAN Blockchain and Cryptography Connected Vehicles Digital Twin Networks E-health and Mobile Health Experiments, Prototypes, and Testbeds Fluid Antenna Communications Full-Duplex Communication Networks Innovative Implanted and Wearable Devices Intelligent Beamforming Relays IoT and Machine Type Communications Joint Radar and Communications Low-altitude Communications and Networks Molecular and Nano Communications Networking Support for Virtual and Augmented Reality O-RAN and Other Compatible Open Radio Access Technologies Quantum Communications Satellite and Deep Space Communications IoT Enablers, Integrated Sensors and Localization Software Defined Radio and Networks Surface Wave Communications UAVs and Non-Terrestrial Networks Visible Light and Optical Communication Cross-Medium Communication Covert Communications
最終更新：Dou Sun（）

採択率

平均採択率: 46.6% 11 年間 (2000–2016).

年投稿数採択数採択率(%)
201696446748.4%
201585538545%
2012140762044.1%
2010147454837.2%
2009119550041.8%
2008125357345.7%
2007172181547.4%
2004108747043.2%
200373037751.6%
200256816729.4%
200038430078.1%

ベストペーパー

年ベストペーパー
2019Design of Spiral Constellations for Phase Noise Channels
2019Rate Splitting Approach Under PSK signaling Using Constructive Interference Precoding Technique
2019Backscatter-Aided Relay Communications in Wireless Powered Hybrid Radio Networks
2019Cloud-Enabled Radio Resource Management for Co-Operative Driving Vehicular Networks
2019An Eavesdropping and Jamming Dilemma when the Adversary might be Subjective
2019Reuse Maximization Using Multi-Level Interference Mapping in Small Cell Networks
2019Optimal Interference Management, Power Control and Routing in Multihop D2D Cellular Systems
2019On-line Client Association Scheme Based on Reinforcement Learning for WLAN Networks
2019Cooperative NOMA via Bilayer Factor Graphs
2018Listen Before Receive for Coexistence in Unlicensed mmWave Bands
2018Coded caching in a Multi-Server System with Random Topology
2018On the Performance of Multi-tier Heterogeneous Cellular Networks with Idle Mode Capability
2018Efficient and Asymptotically Optimal Resource Block Allocation
2018Rate-Reliability Tradeoff for Multi-Connectivity
2018Efficient Virtual Evolved Packet Core Deployment Across Multiple Cloud Domains
2018The rival might be not smart: revising a CDMA jamming game
2018Performance Comparison of Constant Envelope and Zero-forcing Precoders in Multiuser Massive MIMO
2016Optimal Lattice Spacing for GFDM with Gaussian Waveform
2016Energy Harvesting Wireless Networks with Correlated Energy Sources
2016Secure and Efficient Uniform Handover Scheme for LTE-A Networks
2016Cell Search Evaluation: A Step Towards the Next Generation LTE-MTC Systems

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
IEEE Security & Privacy3.0IEEE1540-7993
IEEE Wireless Communications11.5IEEE1536-1284
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cEngineering Applications of Artificial Intelligence8.0Elsevier0952-1976

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