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Special Issue "Applied Mathematics for 5th Generation (5G) and beyond Communication Systems"
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".
Deadline for manuscript submissions: closed (29 April 2022) | Viewed by 15871
Special Issue Editors
Interests: reinforcement learning; federated reinforcement learning; wireless networks; network performance analysis; IP routing; IoTs; tactile internet; 5G; URLLC
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Special Issue Information
Mobile communication systems have a great importance in today’s world. Since the introduction of the global system for mobile communications (GSM) in the early 1990s, till today’s more advanced 5th generation (5G) communications system, it has had an enormous impact on people’s social life. Its importance will continue to climb with new fields of application, for example, the Internet of things (IoT), Tactile Internet, ultra-reliable low latency communication (URLLC) with astonishingly high throughput. Such advanced communication systems are continually being introduced to live up to the great variety of applications and desires for new services. This development would have been impossible without the digitalization of communication systems, wherein mathematics played a vital supporting role. In fact, mathematics is the foundation of information and communication theory, the pathbreaker in the development of new transmission procedures, and an essential instrument in the planning and optimization of networks. For example, statistical theories and discrete mathematics are used in information theory; linear algebra, convex optimization and game theory are used in the development of new methods of transmission; and linear, combinatorial, and stochastic optimization are used in planning radio networks. Despite this immense progress, essential foundational issues and challenges for the implementation of machine intelligence in 5G and beyond communication systems are still to be determined. Examples include a network information theory based on machine learning (ML) techniques (such as supervised learning, unsupervised learning, federated learning, and reinforcement learning) for more complex multi-user 5G and beyond systems, a quantum information theory for miniaturized systems, a theory of self-organizing intelligent networks, and the development of new paradigms for the use of the cognitive radio networks. In all these cases it is the collaboration of applied mathematics and the communications engineering that must deliver the essential contributions to the potential solutions.
We propose in this Special Issue to focus on those applied mathematical models and methods that reflect the specific features of 5G and beyond communication systems that differ from past and present ones. We may deliberate on diverse mathematical approaches for machine intelligence based on stochastic processes, queueing theory, statistics, stochastic geometry, and others.
Dr. Rashid Ali
Prof. Dr. Hyung Seok Kim
Manuscript Submission Information
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