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Information Theory in Emerging Wireless Communication Systems and Networks, Second Edition

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: 19 January 2025 | Viewed by 120

Special Issue Editor


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Guest Editor
Department of Electrical and Computer Engineering University of Illinois, Chicago, IL 60607, USA
Interests: communication systems; machine learning; information systems; signal processing; networking theory
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wireless communication systems and networks are rapidly evolving to meet the ever-increasing demands for higher data rates, better reliability and seamless connectivity anytime, anywhere. As we look beyond 5G, the development of 6G and 7G networks introduces a plethora of new technologies and communication techniques. These include autonomous aerial networks and the Internet of Space Things, terahertz communications, large-scale massive multiple-input multiple-output (MIMO), intelligent reflecting surfaces (IRSs), visible light communication (VLC), molecular communications and the Internet of Bio/Nano Things, blockchain-based wireless systems and quantum communications and computing.

A significant driving force in the evolution of next-generation communication systems is the integration of artificial intelligence (AI) and machine learning (ML). These technologies are poised to revolutionize wireless networks by enabling smarter, more efficient and more adaptive communication systems. AI and ML are expected to play critical roles in network optimization, resource management and the development of intelligent protocols, making them essential components of 6G and 7G networks.

The nascent nature of these innovative methods raises several fundamental questions: What are the ultimate performance limits of emerging wireless communication systems and networks? How can we design practical schemes to achieve these ultimate limits? This Special Issue aims to address these questions by soliciting original research articles that explore the frontiers of 6G/7G and AI/ML in wireless communications.

Since its inception more than 70 years ago by Claude Shannon, information theory has been the primary method for studying the performance limits of communication systems and networks. Thus, an information theoretic analysis of emerging wireless communication systems and networks is the main focal point of this Special Issue. We also welcome practical schemes that achieve these information theoretic limits. In general, prospective authors must either directly utilize or work with information theory or demonstrate the connection of their work to information theoretic concepts.

Dr. Erdem Koyuncu
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. Entropy 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 2600 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

  • information theory
  • emerging systems
  • AI/ML
  • 6G/7G

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