5G Mobile Communication for Intelligent Applications
A special issue of IoT (ISSN 2624-831X).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2114
Special Issue Editor
Interests: 5G mobile communication for intellegent applications; artificial intellegence for data hungry smart application; cloud IoT applications; networked unmanned aerial vehicles for fault detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
It is widely known that 5G is a promising technology to significantly enhance the speed and integration of many other novel paradigms to provide flexible and seamless services and applications. Artificial Intelligence (AI) learns from data and helps 5G cloud services and applications. Nevertheless, 5G is still in its infancy stage of deployment, and certain unique challenges need to be addressed. This Special Issue particularly focuses on collecting high-quality research work to show how AI can further help in 5G’s quick deployment and can address challenges related to this. Although AI is potential candidate to address deployment issues, however, AI has some inherent limitations which we also need to address. This is to provide a clear insight on the use of AI-driven 5G networks, its challenges, and research opportunities.
This Special Issue calls for high-quality unpublished research works on recent advances related to the application and deployment of AI-enabled, 5G-driven mobile networks. Open research problems, performance evaluation, and comparisons with existing solutions, theoretical as well as experimental studies, and use cases enabled by recent advances in 5G mobile communications are encouraged. High-quality review papers are also welcomed.
Potential topics include but are not limited to the following:
- Theoretical approaches and methodologies for AI-enabled 5G networks;
- AI for 5G network management;
- AI-based security applications in 5G networking;
- AI-enabled dynamic network slicing;
- AI-enabled security methods for IoT, SDN, NFV;
- AI-based network authentication approaches;
- Energy-efficient network operation in the IoT;
- AI to address heterogeneity in 5G networks.
Dr. Morshed U. Chowdhury
Guest Editor
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. IoT is an international peer-reviewed open access quarterly 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 1200 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.
Keywords
- AI
- SDN
- IoT
- NFV
- security
