Dear Colleagues,

Wireless technologies such as 5G communication, fog networking, millimeter wave communication, and molecular communication have advanced rapidly in recent years. Future wireless communications are expected to meet a wide range of service requirements in various aspects of our daily lives. However, the design and optimization of 5G and beyond networks have become extremely difficult due to the extreme range of 5G requirements for user experience, performance, efficiency, and complex network environments. Future wireless communication networks will require robust intelligent algorithms to adapt network protocols and resource management for a wide range of applications.

Artificial intelligence (AI), defined as any process or device that observes its environment and takes actions to maximize the chances of success for a predefined goal, is a viable solution for the emerging complex communication system design. Recent advances in deep learning, machine learning, convolutional neural networks, big data, and reinforcement learning hold great promise for solving extremely complex problems that have previously been considered intractable. AI technology is now more suitable for use in 5G wireless communications to address optimized physical layer design, complex decision making, network management, and resource optimization tasks in such networks. Furthermore, emerging big data technology has provided an excellent opportunity to study the essential characteristics of wireless networks, allowing us to gain a clearer and more in-depth understanding of the 5G wireless network's behavior. AI will be a powerful tool and a frequently discussed research domain in the study of 5G wireless communication technologies, with many potential application areas such as wireless signal processing, resource management, and channel modeling, among others.

This Special Issue encourages the submission of high-quality, innovative, and original contributions to future wireless communication systems, focusing particularly on the use of AI, deep learning, machine learning, and big data in wireless communications.

The list of possible topics includes but is not limited to the following:

• Artificial intelligence for the convergence of communications, storage, and computing resources;
• Distributed artificial intelligence and federated learning in wireless networks;
• Internet of Things (IoT) and Industrial IoT applications in wireless communications;
• Low latency in wireless networked control systems;
• Cloud and fog computing-based radio access networks;
• Wireless networks with multidimensional radio access;
• Optimization of communication;
• Novel design of deep-learning, machine-learning, pattern recognition and convolutional neural network (CNN) approaches for wireless system applications;
• AI and wireless communication in healthcare;
• Healthcare and AI;
• Applications of AI for 5G wireless transmission technologies, including coordinated multiple points transmission/reception, large-scale antenna array, and multi-hop relay;
• Applications of AI for 5G resource management, including energy sources, computing resources, and communication infrastructures;
• Analysis and prediction of 5G network behavior through AI technologies, i.e., multi-media traffic load, network overhead, and network collision;
• Challenges and design requirements for future wireless communication systems;
• Security for future wireless communication systems;
• Application of deep learning, machine learning, and AI for wireless communication systems;
• Applications of big data for wireless communication systems;
• Big data analytics for wireless communication systems.

Dr. Inam Ullah
Dr. Ateeq Ur Rehman
Dr. Imran
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 submissions that pass pre-check are 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. Electronics 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 2400 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.

• artificial intelligence
• 5G and beyond
• future wireless communication systems
• Internet of Things
• deep learning
• machine learning
• resource management
• big data
• convolutional neural network (CNN)
• edge computing technologies