Information Theory in Emerging Wireless Communication Systems and Networks
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 9439
Special Issue Editor
Interests: communication systems; machine learning; information systems; signal processing; networking theory
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 connectivity anywhere, anytime. There are various new technologies and communication techniques that are currently being proposed for 6G networks and beyond, including autonomous aerial networks and Internet of Space Things, terahertz communications, large-scale massive multiple-input multiple-output (MIMO), intelligent reflecting surfaces (IRS), visible light communications (VLC), molecular communications and Internet of Bio/Nano Things, blockchain-based wireless systems, and quantum communications and computing, just to name a few. Artificial intelligence, machine learning, and edge computing are also expected to be key features of tomorrow’s wireless systems. The nascent nature of the many new proposed methods begs the following fundamental questions: What are the ultimate performance limits of emerging wireless communication systems and networks? How can we design practical schemes to achieve the ultimate limits? It is in these contexts that this Special Issue is soliciting original research articles.
Since its inception more than 70 years ago by Claude Shannon, the primary method to study the performance limits of communication systems and networks has been information theory. An information-theoretic analysis of emerging wireless communication systems and networks is thus the main focal point of this Special Issue. Practical schemes achieving the information-theoretical limits are also of interest. 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
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