Scope
The fifth generation (5G)-and-beyond of radio technology delivers multi-Gbps peak data rates, ultra-reliable low latency, and massive connectivity. Thus, it provides a large number of new applications and opens a wide variety of business opportunities. (5G)-and-beyond has the potential to shape the industrial world through the automation of everything. However, public 5G networks, which are owned and operated by mobile network operators, have drawbacks. On their pursuit of revenue, mobile network operators may deploy networks only in densely populated areas with vast number of subscribers. This may result in limited public network coverage, particularly in some enterprise and remote areas, far away from business hubs. Public network coverage may also often be insufficient within some industrial buildings and factories, with harsh radio frequency operating conditions. Industrial private networks have emerged and are attracting a significant interest to address the above-mentioned defects. This workshop aims to bring researchers for technical discussion on fundamental and practically relevant questions to many emerging challenges in industrial private wireless networks.
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We seek original completed and unpublished work not currently under review by any other journal/ magazine/conference. Topics of interest include, but are not limited to:
- New private networking architectures, including OpenRAN
- Integration of wireless systems into currently deployed industrial networks
- Intelligent network orchestration and radio resource management (including cooperative edge computing, reinforcement learning, spectrum allocation, and spectrum management)
- Wireless data traffic characterization and forecasting
- Efficient multi-band aggregation, multi-channel operations, multi-node cooperation, distributed MIMO
- Further enhanced URLLC for industrial private networks
- Flexible spectrum agile multi-link operation and robust hardware design
- Integration of time sensitive networking in industrial wireless networks
- Private network planning, optimization, and energy efficiency
- Distributed learning, including privacy-preserving learning across multiple private networks
- RF-controlled intelligent reflecting surface for industrial private networks
- Use of unmanned vehicles, e.g., UAVs, in industrial networks
- Accurate localization and tracking and its integration with integrated sensing and communications
Workshop Web Page
https://sites.google.com/view/local-and-private-5g-networks/
Important Dates
- Workshop Paper Submission Deadline: 20 January 2024
- Paper Acceptance Notification: 6 March 2024
- Camera Ready: 15 March 2024
- Accepted Author Registration Deadline: 15 March 2024
Submission Link
https://ws08icc2024workshop-ipb5gbwn.edas.info/
Workshop Co-Chairs
- Kyeong Jin Kim, Samsung Research America, USA (kj.kim1@samsung.com) [main contact]
- Chao Wang, Xidian University, China (drchaowang@126.com)
- Kwang-Cheng Chen, University of South Florida, USA (kwangcheng@usf.edu)
- Miaowen Wen, South China University of Tech, China (eemwwen@scut.edu.cn)
- Petar Popovski, Aalborg University, Denmark (petarp@es.aau.dk)
- Theodoros A. Tsiftsis, University of Thessaly, Greece (tsiftsis@uth.gr)
TPC Co-Chairs
- Hongwu Liu, Shandong Jiaotong University, China
- Namyoon Lee, Korea University, Korea
- Yansha Deng, King’s College London, UK
- Phee Lep Yeoh, University of Sydney, Australia
TPC Members
- Hongjiang Lei, Chongqing Univ. of Posts & Tel., China
- Giovanni Geraci, UPF, Spain
- Hongwu Liu, Shandong Jiaotong University, China
- Jiliang Zhang, Northeastern Univ., China
- Lingjia Liu, Virginia Tech, USA
- Sunwoo Kim, Hanyang University, Korea
- Namyoon Lee, Korea Univ., Korea
- Shao-Yu Lien, National Chung-Cheng Univ., Taiwan
- Phee Lep Yeoh, University of Sydney, Australia
- Paolo Baracca, Nokia Bell Labs, Germany
- Zhiguo Ding, The University of Manchester, UK
- Yansha Deng, King’s College London, UK
