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Advanced Distributed Signal Processing and Optimization for Multi-Agent IoT Networks

Guest Editors:

Prof. Lisheng Fan: Guangzhou University, China
Prof. Shengli Zhang: Shenzhen University, China
Prof. Arumugam Nallanathan: Queen Mary University of London, UK
Prof. Rose Qingyang Hu: Utah State University, USA

Submission Status: Open   |   Submission Deadline: 31 January 2024


EURASIP Journal on Advances in Signal Processing is calling for submissions for its collection on Advanced Distributed Signal Processing and Optimization for Multi-Agent IoT Networks. Multi-agent networks have been widely applied in practical communication or computing based systems, where multiple agents interact with each other by exchanging the training model or gradients. To break dilemma of data island among multiple agents and protect privacy, distributed signal processing and optimization have been proposed, whereas federated learning is a typical form. However, there are still several fundamental challenges on the advanced distributed signal processing and optimization in multi-agent learning for multi-agent IoT networks, including the advanced channel estimation, the intelligent signal processing based transceiver design, and complicated resource allocation and optimization among multiple agents. Given these challenges, the issues of advanced distributed signal processing and optimization arise for multi-agent IoT networks. This special issue seeks to provide a venue for ongoing research in advanced distributed signal processing and optimization applicable to a wide range of multi-agent IoT networks, as well as data-adaptive signal processing algorithms and architectures to handle the practical challenges, while revealing fundamental limits and insights on the signal processing based theoretical trade-offs involved.

Meet the Guest Editors

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Prof. Lisheng Fan: Guangzhou University, China

Lisheng Fan received the bachelor and master degrees from Fudan University and Tsinghua University, China, in 2002 and 2005, respectively, both from the Department of Electronic Engineering. He received the Ph.D degree from the Department of Communications and Integrated Systems of Tokyo Institute of Technology, Japan, in 2008. He is now a Professor with GuangZhou University. His research interests span in the areas of wireless cooperative communications, physical-layer secure communications, interference modeling, and system performance evaluation. Lisheng Fan has published many papers in international journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Information Theory, as well as papers in conferences such as IEEE ICC, IEEE Globecom, and IEEE WCNC. He has served as a leading guest editor of Physical Communication,  a guest editor of EURASIP Journal on Wireless Communications and Networking, and served as the chair of Wireless Communications and Networking Symposium for Chinacom. He has also served as a member of Technical Program Committees for IEEE conferences such as Globecom, ICC, WCNC, and VTC.
 


Prof. Shengli Zhang: Shenzhen University, China

Shengli Zhang received the B.Eng. degree in electronic engineering and the M.Eng. degree in communi-cation and information engineering from the University of Science and Technology of China, Hefei, China, in 2002 and 2005, respectively, and the Ph.D. degree from the Department of Information Engineering, The Chinese University University of Hong Kong, Hong Kong, in 2008. After that, he joined the Department of Communication Engineering, Shenzhen University, Shenzhen, China, where he is currently a Full Professor. From 2014 to 2015, he was a Visiting Associate Professor with Stanford University, Stanford, CA, USA. He has served as a Editor for IEEE Transactions on Vehicular Technology. 
 


Prof. Arumugam Nallanathan: Queen Mary University of London, UK

Arumugam Nallanathan (S'97-M'00-SM'05-F'17) is Professor of Wireless Communications and Head of the Communication Systems Research (CSR) group in the School of Electronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’s College London from December 2007 to August 2017, where he was Professor of Wireless Communications from April 2013 to August 2017 and a Visiting Professor from September 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering, National University of Singapore from August 2000 to December 2007. His research interests include 5G Wireless Networks, Internet of Things (IoT) and Molecular Communications. He published nearly 500 technical papers in scientific journals and international conferences. He is a co-recipient of the Best Paper Awards presented at the IEEE International Conference on Communications 2016 (ICC'2016) , IEEE Global Communications Conference 2017 (GLOBECOM'2017) and IEEE Vehicular Technology Conference 2018 (VTC'2018). He is an IEEE Distinguished Lecturer. He has been selected as a Web of Science Highly Cited Researcher in 2016.



Prof. Rose Qingyang Hu: Utah State University, USA, rose.hu@usu.edu

Rose Qingyang Hu is a Professor in the Department of Electrical and Computer Engineering. Prior to joining Utah State University, she held various industry and academia positions, actively participated in industry 4G standards/technology development and system level simulations. She was an Assistant Professor with the Electrical and Computer Engineering Department of Mississippi State University during 2002-2004. During 1998-2002 and during 2004-2010, she held several management and Senior research positions in telecommunication industry. Her current research interests include next generation (5G) wireless network, Internet of Things, cyber physical systems, design and optimization, simulation, modeling and performance evaluation. She has published about 230 journal and conference papers and holds over 30 patents in these areas. She is a Fellow of IEEE.


About the collection

Possible topics of interest include but are not limited to:

1. Distributed channel estimation for multiple agents
2. Intelligent precoding and detection for multi-agent IoT networks
3. Intelligence signal processing based cost reduction for multi-agent learning
4. Advanced resource allocation for multi-agent IoT networks
5. Distributed signal processing with edge computing
6. Industrial IoT networks, smart cities

  1. Multi-Agent Systems are characterized by the presence of multiple independent agents and find diverse applications. In the context of smart cities, MAS is employed in traffic management to enhance operational ...

    Authors: Fei Chen, Xinjian Zhang, Bo Ning, Chao Yang and Xiao Jia
    Citation: EURASIP Journal on Advances in Signal Processing 2023 2023:123
  2. Integrated satellite–aerial–terrestrial relay networks (ISATRNs) play a vital role in next-gen networks, particularly those with high-altitude platforms (HAP). This study introduces a new model for hybrid opti...

    Authors: Jiao Li, Huajian Xue, Min Wu, Fucheng Wang, Tieliang Gao and Feng Zhou
    Citation: EURASIP Journal on Advances in Signal Processing 2023 2023:121
  3. Due to the advantages of rapid deployment, flexible response and strong invulnerability, unmanned aerial vehicle (UAV) swarm has been widely applied in collaborative warfare and emergency communication. Howeve...

    Authors: Ye Lin, Zhenyu Na, Zilong Feng, Bin Lin and Yun Lin
    Citation: EURASIP Journal on Advances in Signal Processing 2023 2023:118
  4. Reconfigurable intelligent surface (RIS) is an emerging technology to improve the spectral efficiency of wireless communication systems. However, the high complexity of beam design and the non-negligible overh...

    Authors: Weilin Zhang, Lingyi Wang, Hangtao Mao, Zi Wang and Wei Wu
    Citation: EURASIP Journal on Advances in Signal Processing 2023 2023:111
  5. Increasing the spectrum and time utilization rate is the goal of the next wireless communication networks. This work studies the outage performance of the reconfigurable intelligent surface (RIS)-aided integra...

    Authors: Jiu Sun, Kefeng Guo, Feng Zhou, Xueling Wang and Mingfu Zhu
    Citation: EURASIP Journal on Advances in Signal Processing 2023 2023:109

Submission Guidelines

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This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Advanced Distributed Signal Processing and Optimization for Multi-Agent IoT Networks" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.