Call for Papers

The IEEE Open Journal of Communications Society (OJ-COMS) invites manuscript submissions in the area of Communication-inspired Artificial Intelligence (AI) for Beyond 5G (B5G) Networks.

Future communication systems would need a conceptual change in terms of how they will be interconnected, structured, configured, optimized, and dynamically retrieved in response to their operational conditions. B5G wireless technologies are projected to boost maximum throughput significantly, offer ultra-low delay, enable significant hardware connection, and optimize network energy consumption. Moreover, B5G is projected to evolve into a decentralized innovative communication channel, detection, and location platform. In comparison, current approaches like massive multiple-input multiple-output (MIMO) and tiny clusters enable such a requirement but highly depend on unpredictable wireless surroundings’ strength. Considerable unique inputs and breakthroughs in wireless network administration are needed to deploy wireless networks effectively.

Communication inspired artificial intelligence is an attempt for new intelligent communication network architecture. The core idea is to use a narrow-band small cell to build a cluster network, which mainly aims at realizing the MIMO functionality and enabling future networks to become more flexible, seamless, and versatile. The algorithms mentioned above may enable a future generation of entirely autonomous network infrastructure. Moreover, unique complexities have emerged, like determining when and how to utilize traditional techniques algorithms, AI-enabled models, or perhaps even blended frameworks; designing communication-inspired AI models tailored to portable management challenges, choosing how to implement them in edge computing, as well as how to organize one ‘s life span from information gathering to decision support. Recently, academics have started examining the architecture of 5G-and-beyond platforms and the influence of the fog computing and processing strategy anticipated for 5G on the future of radio communication systems.

Further, communication-inspired AI empowers edge computing, smart information and network resource sharing, automatic big data processing, cognitive baseband processing architecture, distributed cloud computing and massive micro-clouds. The objective is to find new innovative tools that combine data from network simulation and measurements, AI machine-learning and simulation to create a very accurate understanding of how a network will perform in real conditions. Research in this stream is used to develop new technologies that may one day enable communication in harsh environments or new spectrum resources in the terahertz frequency range. Compared to the promises made a generation later, the current 5G implementation demonstrates inherent shortcomings. These constraints motivate researchers to concentrate their efforts on creating novel, creative, and valuable technologies despite retaining the goal of 5G beyond 6G communication. Both 5G and 6G networks may be emulated utilizing cloud-based technologies, culminating in increased efficiency and precision. Furthermore, towards advancement of big data analytics competences and communication-inspired AI framework, communications infrastructure issues may be evaluated and proper solutions found.

These technical breakthroughs would provide significant potential for study in various domains, including reconfigurable wireless connections and the improvement of wireless transmission rate, precision, and efficiency using AI, machine learning, big data analytics, and cloud-based services. Contemporary wireless interactions are based on the increasingly sophisticated topology that frequently involves several consumers, changing signal frequencies, and cooperating or competing nodes. Data transmission would get more complicated as the infrastructure grows in complexity. Recent emphasis has been focused mostly on implications of communication-inspired AI capabilities in wireless technology, and it is generally established that pattern recognition has contributed significantly to both disciplines. This Special Issue aims to bring together a group of world-class experts to discuss the scientific and practical challenges of the joint design and deployment of novel AI/machine learning algorithms with the next-generation communication systems. We welcome all researchers, both academic and industrial, who are interested in developing the Communication-Inspired AI for Beyond 5G Networks.

The topics of interest for the Special Issue include, but are not limited to the following:

• AI-enabled portable MIMO framework in B5G network
• Advanced congestion control using NFV, network slicing, and SDN in B5G network
• Cognitive-inspired dynamic spectrum access for B5G network using AI
• Communication-inspired AI-enabled resource management and allocation algorithm for B5G network
• Communication-inspired AI for big data analytics in B5G network
• Decentralized edge computing for B5G network using communication-inspired AI
• Heterogeneous system modelling for B5G network using communication-inspired AI
• Novel multiple access methods and waveform design for B5G network using communication-inspired AI
• Quantum communications, networks, and architecture for B5G network using communication-inspired AI
• Zero-touch and autonomous network for B5G using communication-inspired AI

Submission Guidelines

Prospective authors should submit their manuscripts following the IEEE OJCOMS guidelines. Authors should submit a manuscript trough Manuscript Central.

Important Dates

Manuscript Submission Deadline: 30 December 2022 (Extended Deadline)
Publication Date: First Quarter 2023

Lead Guest Editor

Anand Paul, Kyungpook National University, South Korea

Guest Editors

Naveen Chilamkurti, La Trobe University, Melbourne, Australia
Awais Ahmad, Università Degli Studi di Milano, Milan, Italy
Jhing-Fa Wang, National Cheng Kung University, Taiwan

For inquiries regarding this special Issue, please contact the Lead Guest Editor.