Artificial Intelligence for Next-Generation Wireless Communications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 1 April 2027 | Viewed by 259
Editors
Interests: 6G mobile communication systems; cell-free communications; satellite communications; intelligent communications
Special Issues, Collections and Topics in MDPI journals
Interests: semantic communication; distributed AI algorithm; wireless AI; collaborative sensing
Interests: AI-enabled wireless resource allocation; LLM for wireless communication; low-altitude intelligent network
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is becoming a key enabler for next-generation wireless communication systems. By learning complex channel characteristics, network dynamics, and user behaviors, AI can improve physical-layer transmission, radio resource management, network optimization, and service provisioning. However, its practical deployment still faces challenges related to data availability, generalization, computational complexity, interpretability, security, and real-time implementation. This Special Issue aims to present recent advances in AI for next-generation wireless communications. Topics of interest include, but are not limited to: deep learning, deep unfolding, reinforcement learning, graph neural networks, federated learning, generative models, diffusion models, foundation models, and large language models for channel estimation, signal detection, beamforming, resource allocation, network optimization, semantic communications, integrated sensing and communication, massive access, edge intelligence, satellite communications, and the Internet of Things.
Original research articles, comprehensive reviews, and perspective papers are welcome. This Special Issue seeks to provide a timely forum for exchanging new ideas and promoting efficient, reliable, explainable, and deployable AI-enabled wireless communication technologies.
Dr. Gangle Sun
Dr. Haonan Tong
Dr. Yuanai Xie
Dr. Haochen Li
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly 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 1800 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-enabled wireless communications
- generative AI
- deep learning and deep unfolding
- wireless resource allocation and network optimization
- semantic communications and edge intelligence
- artificial intelligence for communications and sensing
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