Artificial Intelligence and Next Generation Communication in Self-Sustainable and Organizable Network
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: closed (25 December 2022) | Viewed by 1207
Special Issue Editors
Interests: artificial intelligence-enabled wireless networks for tactile healthcare; multimedia; and industry 5.0; internet-of-everything (IoE) and artificial intelligence (AI)
Interests: resource management; wireless networks; mobile networks; performance evaluation; embedded systems; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: reinforcement learning; federated reinforcement learning; wireless networks; network performance analysis; applied mathematics for wireless networks; IP routing; IoTs; tactile internet; 5G; URLLC
Special Issues, Collections and Topics in MDPI journals
Interests: convex/nonconvex optimizations; wireless communication; 5G/6G; ambient backscatter communications; intelligent reconfigurable surfaces; artificial intelligence/machine learning; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: energy efficient IoT networks; EMF exposure reduction; low SAR antennas for mobile handsets; machine learning for wireless communication; backscatter communication; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The vision for Internet-of-Everything (IoE) in 6th generation (6G) technology is to connect billions of humans and machines to the Internet, which shifts the paradigm from rate-centric services such as further-enhanced mobile broadband (FeMBB) toward enhanced ultra-reliable low-latency communication (eURLLC) and ultra-massive machine type communication (umMTC). The fifth generation (5G) of cellular communication was expected to be the key enabler for IoE due to a 1000x increase in the data rate and network capacity. The development of 5G by 3GPP has led to the standardization of the new radio (NR) in Release 15, which operates exclusively over millimeter wave mmWave frequencies, and a true IoE carrier has yet to be achieved. However, most of the versions of 5G throughout the world still use sub-GHz frequencies. Although 5G readily supports URLLC services, the aim to have a self-sustaining and self-organized network (SSN/SON) has thus far remained a mirage, and these objectives have been moved upward to B5G networks. NR offers a flexible and scalable frame structure and numerology that supports network slicing at core networks as well as at access networks. Moreover, the NR-U also offers an unlicensed spectrum of support to enhance network performance. Apart from these, NR provides operability at sub-Ghz and sub-Thz frequencies, which is desperately needed to cope with the scarcity of the spectrum. NR is focused on enabling device-to-device (D2D) communication, also known as proximity services (ProSe), in the latest releases. Few active research domains of the D2D in NR represent vehicle to everything (V2X) communication and data relay. The 3GPP also discusses 24 other use-cases for D2D communication in Release 17. Having standardized modular artificial intelligence (AI) in 6G for every tier of the network with NR as its main enabler has been considered. Moreover, AI is an essential piece for enabling SSN and SON. The metaverse is a reality in the 2030 network paradigm. The critical enabler for the metaverse is tactile Internet (TI). One of the most prime use-cases of TI is tele-surgery in the healthcare sector. The age of information (AoI) is an essential factor in TI and needs to be minimized. NR is expected to enable all of these requirements for IoE in 6G network to become SSN and SON.
Motivated from the requirements of B5G and 6G, this Special Issue aims to disseminate the latest and most pressing research in the domain of NR-enabled SON and SSN for future generation communication networks. The main topics of interest for this Special Issue include, but are not limited to, the following:
- NR-enabled frameworks for eURLLC, FeMBB, and umMTC;
- Algorithms and techniques for latency, data rate, and reliability optimization;
- Intelligent network slicing;
- Intelligent D2D communication;
- Intelligent V2X communication;
- Intelligent cooperative communication;
- Intelligent backscatter communication;
- Intelligent tactile Internet;
- Intelligent reduction of age of information in TI;
- Intelligent Physical layer protocols for THz communication;
- Intelligent reflective surfaces;
- Intelligent and flexible MAC scheduling;
- Intelligent network routing;
- Federated learning-enabled SSN and SON;
- Multi-agent reinforcement learning for SSN and SON;
- Intelligent non-terrestrial network (NTN) communications;
- The coexistence of NR-U with IEEE802.11xx WAN standards.
Dr. Ali Nauman
Prof. Dr. Sung Won Kim
Dr. Rashid Ali
Dr. Wali Ullah Khan
Dr. Muhammad Ali Jamshed
Guest Editors
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