Towards Native-AI and Open 5G and B5G Networks
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 15 September 2024 | Viewed by 334
Special Issue Editors
Interests: 5G; LTE; self-organizing networks; machine learning; 6G
Interests: artificial intelligence for RAN; self-organizing networks; wireless networks
Interests: 5G-NR based localization; UWB localization and ranging; 3GPP NTN standardization; drone based Ad-hoc communication; mission critical communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The use of 5G technology is driving an ongoing revolution in the communications industry, offering higher speeds and capacity, lower latency, and wider connectivity compared to previous 4G technologies. However, this continuous evolution and an increasing number of use cases require constant improvement in cellular network capabilities. Along the same lines, new services of the future Tactile Internet under development, such as telepresence or telemedicine, have been envisaged.
In this context, contributions are sought that present innovative developments and technical solutions aimed at enhancing the current capabilities of 5G networks in terms of higher capacity, lower latency, and massive connectivity. In addition, as B5G progresses, there is an identified need to add features to networks that will contribute to their sustainability and increased value. Accordingly, we are looking for research into the fully autonomous management of mobile networks and solutions that promote low power consumption while extending their scalability to planetary levels, all without losing sight of aspects that are more important than ever in terms of security and resilience.
This Special Issue will cover all aspects related to the above topics, including hardware, software, and algorithmic developments. This, especially, includes those dedicated to the native and massive application of AI in open RAN networks, new flexible architectures, network Digital Twins, satellite and HAPS (High Altitude Platform Station) cellular integration, cybersecurity, and quantum cryptography communications, among others.
Through novel insights, comprehensive coverage, practical applications, and interdisciplinary connections, this collection can help readers stay abreast of the latest trends and developments in this rapidly evolving field.
Dr. Eduardo Baena
Dr. Sana Ben Jemaa
Dr. Mythri Hunukumbure
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.
Keywords
- OpenRAN
- vRAN
- NTN, AI-Native
- autonomous networks
