6G Wireless Communication Systems

Dear Colleagues,

The use of mm-Wave in 5G wireless communications will mitigate the spectrum shortage in current 4G cellular communication systems that operate at frequencies below 6 GHz. However, the increasing number of new applications such as virtual/augmented reality (VR/AR), autonomous driving, Internet of Things (IoT), and wireless backhaul (as a replacement for labor-intensive installation of optical fiber), as well as newer applications that have not been conceived yet, will need even greater data rates and less latency than what 5G networks will offer. 6G is expected to extend 5G capabilities even further. Higher bitrates (up to Tbps) and lower latency (less than 1ms) enable the introduction of new services – such as pervasive edge intelligence, ultra-massive machine-type communications, extremely reliable low-latency communications, holographic telepresence, eHealth and wellness applications, pervasive connectivity in smart environments, industry 4.0 and massive robotics, massive unmanned mobility in three dimensions, and augmented reality (AR) and virtual reality (VR).

On the other hand, artificial intelligence (AI) approaches and techniques, such as machine learning (ML) (of which deep learning and reinforcement learning are specific examples), are new fundamental enablers for operating wireless networks more efficiently, for enhancing the overall end-user experience and for providing innovative service applications. Machine learning (ML) will represent a basic functionality to guarantee the efficiency of future wireless communication networks and, at the same time, can represent enabling technology for several added-value applications and services. The utilization of ML in the wireless communication nodes can enable several advanced services and quality of service functionalities for the proposed applications. Considering, all the above, research in 6G wireless systems is a highly challenging topic.

We invite researchers to contribute original papers that describe applications and experiences of the emerging trends of 6G communication technologies.

Potential topics include but are not limited to the following:

• Antenna design for 6G systems
• Machine learning applications for 6G networks
• Network design and optimization for 6G
• THz Communications as 6G enabler
• NOMA techniques for 6G
• IoT for 6G
• Vision, key drivers, new services, and requirements for 6G
• System and network architectures for 6G
• Wireless backhaul and fronthaul solutions for 6G

You may choose our Joint Special Issue in Sensors.

Prof. Dr. Sotirios Goudos
Dr. Dimitris Anagnostou
Dr. Stavros Koulouridis
Dr. Kostas E. Psannis
Prof. Dr. Panagiotis Sarigiannidis
Prof. Shaohua Wan
Guest Editors

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