System and Device Architectures: Limitations and Prospects of 6G-Enabled Wireless Communications for IoT Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 3738
Special Issue Editors
Interests: artificial intelligence; machine learning; cyber security; cyber physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: computing; security; IOT; WSN; data science; decision science; education technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wireless communications in 6G will keep evolving toward higher frequencies, capacity, and significantly faster data rates and bandwidth efficiency. Because of the IoT's complex nature and density, 6G wireless networks must be upgraded to contemporary random access for Internet of Things systems, which may be accomplished through intelligent protocol strategies and improved communications technologies and signal processing. Modern RA methods, such as massive NOMA, MIMO, OFDMA, signal processing, and novel orthogonal design methodologies, are well suited for the Internet of Things provided by 6G wireless communication. Each of these initiatives aims to accentuate the IoT's inherent interdisciplinary character. It will create new information and understanding and enhance the pace of exploration and creativity in the Internet of Things.
Sixth-generation networks (6G) are intended to enhance 5G capabilities by enabling billions of interconnected systems and platforms to operate smoothly at high bandwidth rates and low delay. The complexity and imminent deployment of 5G wireless communication will allow an exponential increase in mobile data consumption and the different demands of various businesses within a much larger globalizing economy, including commerce, transportation, and medicine. 6G will play an essential role in enabling massive wireless interconnection with very complicated services. Efficient and intelligent planning is necessary to address the unique needs of ubiquitous connection in future 6G-capable wireless networks. 6G wireless communication architectures capable of self-configuration, and the IoT enables all objects to connect through standardized and compatible routing protocols and allows the sharing of information and decision making via data collection, transfer, and interpretation.
Intelligent algorithm implementation and protocol design and modern signal processing and communication technologies should be used to consider the heterogeneity of IoT needs when designing resource allocation and random-access mechanisms for 6G wireless networks. Furthermore, 6G-enabled wireless communications for IoT applications to artificial intelligence (AI) techniques would allow them to utilize the understanding that can be produced for applications such as spectrum sensing, energy consumption, IoT exploration, and cognitive computing, among others, thereby speeding up advancement in these areas and reducing costs. The combined usage of 6G and artificial intelligence technologies represents a transdisciplinary arena for developing efficient contemporary Internet of Things solutions. This Special Issue focuses on System and Device Architectures: Limitations and Prospects of 6G-Enabled Wireless Communications for IoT Applications.
Topics of Interest for this Special Issue include but are not limited to:
- Edge computing 6G-enabled wireless communications for IoT applications.
- Innovative AI and ML techniques for 6G-enabled wireless communications in IoT applications.
- Blockchain-enabled 6G-enabled wireless communications for IoT applications.
- Deployment of energy efficiency and resource allocation algorithms in 6G-enabled wireless communications for IoT applications.
- Design making and real-time sensing in 6G-enabled wireless communications for IoT applications.
- Realizing interoperability across IoT devices in 6G-enabled wireless communications.
- AI-enabled spectrum sensing in 6G-enabled wireless communications for IoT applications.
- Decentralized intelligence 6G-enabled wireless communications for IoT applications.
- Terahertz communications for 6G-enabled wireless communications in IoT applications.
- Sparse signal-processing paradigms for 6G-enabled wireless communications in IoT applications.
Dr. Manoj Kumar
Dr. Xiaochun Cheng
Dr. Octavio Loyola-González
Guest Editors
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