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Special Issue "AI-Based Communications"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 1 March 2021.

Special Issue Editors

Dr. Jeong Woo Lee
Website
Guest Editor
School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, Korea
Interests: wireless communications; error control coding; cognitive radio; deep learning; AI-based communications
Dr. Jingon Joung
Website
Guest Editor
School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, South Korea
Interests: IoT; 5G; UAV communications; energy efficient communications; machine learning technology
Special Issues and Collections in MDPI journals
Dr. Cheol-Ho Hong
Website
Guest Editor
Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea
Interests: system virtualization; data center networking; fog/edge/cloud computing; machine learning

Special Issue Information

Dear Colleague,

Wireless communications have experienced a tremendous growth of data traffic as well as the appearance of new applications such as smart devices, autonomous systems, and the Internet of Things (IoT). To provide mobile users with high quality of service (QoS) in a complex environment, wireless communications encounter high needs for the intelligent operation, design, and optimization of communication systems. As a result, artificial intelligence (AI) began to be actively adopted in the design and operation of wireless communication systems. The earlier stage of this trend has focused on the upper layers of communications, while recent research works extended the scope to the physical layer as well.

A variety of learning algorithms and artificial neural networks have been studied in recent research works on wireless communications. These include machine learning, deep learning, reinforcement learning, deep reinforcement learning, federated learning, deep neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks. These technologies are utilized for signal detection, sparse signal recovery, channel modeling, network optimization, resource management, routing, transport protocol design, etc.

The goal of this Special Issue is to disseminate the latest research results on AI-based (or AI-aided) communications. Potential topics include, but are not limited to:

  • AI-based signal detection, estimation, interference mitigation;
  • AI-based MIMO, massive-MIMO, mmWave, beamforming;
  • AI-based wireless sensor network (WSN), device-to-device (D2D) networks;
  • AI-based Internet-of-Things (IoT), vehicular networks;
  • AI-based resource and network optimization;
  • AI-based fog/edge/cloud computing.

Wireless sensor networks (WSN), Internet-of-Things (IoT), device-to-device (D2D) networks, and vehicle-to-everything (V2X) networks are well-known emerging applications of wireless communications. To operate WSN, IoT, D2D, and V2X, it is necessary to detect signals, estimate channels, optimize routes, and allocate communication resources to participating devices in an efficient and robust manner. As the wireless environment gets more complex, the intelligent operation of communication systems and participating devices is required. Artificial Intelligence (AI) technologies are known to enable the sub-optimal design and operation of wireless communication systems in a randomly varying environment. Thus, AI-based communication is considered a good solution under the circumstances of increasing data traffic, limited communication resources, and the continuous appearance of new applications. Thus, this Special Issue “AI-Based Communications” is very timely and fits within the scope of Sensors.

Dr. Jeong Woo Lee
Dr. Jingon Joung
Dr. Cheol-Ho Hong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

This special issue is now open for submission.
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