Special Issue "AI-Based Communications"
Deadline for manuscript submissions: 1 March 2021.
Interests: wireless communications; error control coding; cognitive radio; deep learning; AI-based communications
Interests: system virtualization; data center networking; fog/edge/cloud computing; machine learning
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
Manuscript Submission Information
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