Modern Technologies in Digital Communication Systems

Dear Colleagues,

Digital communication systems offer vital advantages, compared to analog communications, and have driven the performance improvement of past, current and future communication generations through the context of the discretization and finite size of information representations. In the wireless communication field, the processes conducted at the transmitter side and the reversal of the latter at the receiver side determine the performance of the overall system. Wireless channel modeling accounts for three main transmitted signal distorting factors, namely additive noise, multipath fading and interference. Statistical modeling has arisen from the early generation communication systems, complying to the principle of describing wireless channel and system performance metrics in a probabilistic manner. The most important degrees of freedom of a digital communication system include time, frequency, space and code. Ever since the advent of information theory, the concepts of compression and achievable rate have defined the limits of system performance as they are translated to next-generation digital communication systems. Throughout communication systems evolvement, the issues of computational and implementation complexities constitute crucial issues that pose significant constraints for system design. Compressed Sensing, among other optimization methods, has already gained popularity for alleviating complexity relative to randomness versus sparsity, the latter serving as an inherent pattern in communication signals. Moreover, state-of-the-art digital communication systems have adopted machine learning and artificial intelligence principles, particularly in the rapidly emerging 6G communication systems. Hence, digital communications are constantly evolving, and the main motivation for this progress relies upon limitations of current communication systems and future goals to be achieved in terms of performance.

This Special Issue will publish original research papers in the following fields:

• Digital communication system design;
• Channel modeling and estimation;
• Coding and compression;
• Compressed Sensing;
• Machine Learning;
• Artificial Intelligence.

Prof. Dr. Konstantinos E. Psannis
Guest Editor

Dr. Theofanis Xifilidis
Guest Editor Assistant

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• digital communications
• performance
• coding
• complexity
• information theory
• system design
• machine learning
• artificial intelligence
• next-generation communications