Artificial Intelligence (AI) and the Future of Communication

Dear Colleagues,

Artificial Intelligence (AI) is a wide-ranging branch of computer science focusing on building smart machines capable of performing tasks that typically require human intelligence. AI in varying forms and degrees has been used to develop and advance a wide spectrum of fields including communication and signal processing. 

The field of communication is undergoing a massive transformation with the integration of AI. This modern technology has the potential to transform many communication areas by optimizing network performance, enhancing security, and automating various manual processes involved in managing a wireless network. Advanced Machine Learning (ML) techniques like deep learning can be used to optimize network performance, enhance security, and automate various manual processes. Similarly, AI applications in wireless communications are playing a vital role, especially with the deployment of 5G networks and the expected growth in the number of connected devices.

This Special Issue aims to report on applications in the wireless communication, signal processing, and IoT domains that benefit from AI technologies including machine learning, reinforcement learning and deep learning. In this context, we are looking for contributions covering one or more of the following topics:

• AI applications in 5G systems and beyond;
• AI-enabled smart technologies for human-centred IoT systems;
• MIMO systems;
• 5G IoT and edge computing convergence—systems, services, and security;
• Ubiquitous and cognitive AI in IoT;
• AI for vehicular communication;
• Deep learning-driven distributed communication systems;
• Blockchain-enabled communication systems;
• Softwarized UAV network management for next-generation internet-based communities;
• Antenna array design for sensing and communications;
• AI-based collaborative computing for smart communications and networking systems;
• Edge and 6G-driven ubiquitous wireless communications;
• Deep learning in mining mobile intelligence for wireless systems;
• Integrating network softwarization techniques into 6G communication systems and applications.

Dr. Muddasar Naeem
Dr. Zaib Ullah
Dr. Syed Tahir Hussain Rizvi
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
• communication
• machine learning
• IoT
• deep learning