About this Research Topic
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Network systems will play an increasingly important role in the future, fulfilling tasks that span many different aspects of a technology-enabled society. These future network systems are expected to be ubiquitous, and benefit from the use of data-driven intelligent algorithms to achieve optimal performance. Furthermore, the adoption and deployment of ubiquitous network systems is predicted to transform enterprise applications.
Advances in artificial intelligence (AI) have enabled the realization of paradigms such as software-defined networking and intent-based networking (IBN). The emergence of cloud computing platforms have also enabled the development of cloud radio access networks (C-RANs), which have a key role to play in supporting the growth of sixth-generation (and beyond sixth-generation) networks. In addition, mobile and ubiquitous networks will prove critical to the development of applications in vertical industries spanning such sectors as healthcare, maritime, and aviation. This Research Topic aims to present a focus on research on the design of systems for explainable AI in mobile and ubiquitous networks.
This Research Topic welcomes contributions on the design of algorithms that address the challenge of improving the performance – i.e., the quality of service – of ubiquitous networks within different contexts. Submissions should also aim to explore how the use of AI can enhance the performance of these networks, and review the benefits of incorporating explainable AI. Contributors are particularly encouraged to submit work on the role of ubiquitous networks in novel environments that support vertical integration and industrial development.
Topics of interest include, but are not limited to:
- Design of transmission and coding techniques alongside the air interface for realizing high data rates in sixth-generation and beyond sixth-generation mobile and ubiquitous networks.
- Design of explainable AI approaches and systems for IBN-capable future mobile and ubiquitous Networks.
- Design of network architecture integrating terrestrial and non-terrestrial networks in sixth-generation and beyond sixth-generation models of mobile and ubiquitous networks.
- C-RAN architecture featuring cloud integration in sixth-generation and beyond sixth-generation mobile and ubiquitous networks.
- Applications of mobile and ubiquitous networks for vertical integration, business and industry, with a focus on the data configuration of energy farms.
- Design of novel routing protocols for terrestrial and non-terrestrial segments alongside integration in network protocols for ubiquitous networks.
Network systems will play an increasingly important role in the future, fulfilling tasks that span many different aspects of a technology-enabled society. These future network systems are expected to be ubiquitous, and benefit from the use of data-driven intelligent algorithms to achieve optimal performance. Furthermore, the adoption and deployment of ubiquitous network systems is predicted to transform enterprise applications.
Advances in artificial intelligence (AI) have enabled the realization of paradigms such as software-defined networking and intent-based networking (IBN). The emergence of cloud computing platforms have also enabled the development of cloud radio access networks (C-RANs), which have a key role to play in supporting the growth of sixth-generation (and beyond sixth-generation) networks. In addition, mobile and ubiquitous networks will prove critical to the development of applications in vertical industries spanning such sectors as healthcare, maritime, and aviation. This Research Topic aims to present a focus on research on the design of systems for explainable AI in mobile and ubiquitous networks.
This Research Topic welcomes contributions on the design of algorithms that address the challenge of improving the performance – i.e., the quality of service – of ubiquitous networks within different contexts. Submissions should also aim to explore how the use of AI can enhance the performance of these networks, and review the benefits of incorporating explainable AI. Contributors are particularly encouraged to submit work on the role of ubiquitous networks in novel environments that support vertical integration and industrial development.
Topics of interest include, but are not limited to:
- Design of transmission and coding techniques alongside the air interface for realizing high data rates in sixth-generation and beyond sixth-generation mobile and ubiquitous networks.
- Design of explainable AI approaches and systems for IBN-capable future mobile and ubiquitous Networks.
- Design of network architecture integrating terrestrial and non-terrestrial networks in sixth-generation and beyond sixth-generation models of mobile and ubiquitous networks.
- C-RAN architecture featuring cloud integration in sixth-generation and beyond sixth-generation mobile and ubiquitous networks.
- Applications of mobile and ubiquitous networks for vertical integration, business and industry, with a focus on the data configuration of energy farms.
- Design of novel routing protocols for terrestrial and non-terrestrial segments alongside integration in network protocols for ubiquitous networks.
Keywords: algorithms, artificial intelligence (AI), network applications, network Architecture, sixth generation networks (6G), beyond sixth generation networks, networks and Systems
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
