Special Issues
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Radio Networks for new Disruptive Digital Services in Fourth Industrial Revolution

Submission Deadline: 17 October 2021 (closed) View: 51

Guest Editors

Dr. Ashish Bagwari, Women’s Institute of Technology/ Uttarakhand Technical University, India.
Dr. KS Sastry, Musti, Namibia University of Science and Technology, Namibia.
Dr. Ivan Perl, ITMO University, Russia.
Dr. Jayanthiladevi, Srinivas University, India.
Dr. Hakan Koyuncu, Altinbas University, Turkey.


Developments in Radio Networks can be effectively utilized in the fourth industrial revolution to develop a new range of disruptive digital services. Contemporary niche technologies like Cloud Computing, artificial intelligence (AI), and IoT technologies are leading towards the era of intelligent and/or smart connectivity. While the future of industry 4.0 technologies has the potential to change the way we live and work, there are still uncertainties and challenges that need to be addressed. Intelligent connectivity is a concept that foresees the combination of Radio Networks for Cloud Computing, artificial intelligence (AI), and Internet of Things (IoT) as a means to accelerate technological development and enable new disruptive digital services. In the intelligent connectivity vision, the digital information collected by the machines, and IoT devices and sensors is analyzed and contextualized by AI technologies and presented to users in a more meaningful and useful way. This would both improve decision-making and allow delivery of personalized experiences to the users, resulting in a richer and more fulfilling interaction between people and the environment surrounding them. As artificial intelligence becomes increasingly sophisticated thanks to advances in computing power, the education of data scientists and the availability of machine learning tools for creating advanced algorithms, the Internet of Things is getting closer to becoming a mainstream phenomenon. Radio networks represent the missing element to bring these technologies to new levels and enable the intelligent connectivity vision. The ultra-fast and ultra-low latency connectivity provided by radio networks, combined with the huge amount of data collected by the Internet of Things and the contextualization and decision-making capabilities of artificial intelligence technologies will enable new transformational capabilities in virtually every industry sector, potentially changing our society and the way we live and work. Intelligent connectivity is expected to play a major role in the key areas are Transportation & logistics, Industrial& manufacturing operations, Healthcare, Renewable Energy, Power Transmission and Distribution, Public safety & security, and other sectors. In the transportation sector, intelligent connectivity could lead to an increased level of road safety and efficiency resulting in a smoother traffic flow. While in the logistics sector, intelligent connectivity has the potential to improve efficiency and flexibility in the delivery of goods, making logistics faster and cheaper. It is in this context that the proposed book will be developed.


• Cooperation communication schemes
• Security
• Advanced spectrum sensing topics
• Energy management and power efficiency in radio networks
• Radio Network and its applications for e-health
• Interference mitigation techniques
• Network architectures and platforms
• Cloud-centric spectrum analysis approaches
• Communications Services and Management
• Network Design, Optimization and Management
• Cloud Computing (IaaS, PaaS, and SaaS)
• Wireless, Cellular and Mobile Communications
• Real-Time Communication Services
• Cloud-based mobile networks
• Artificial Intelligent Systems applications in Computers and Communications
• Intelligent Connectivity: The future of cloud computing, AI and IoT
• The Era of Intelligent Connectivity
• Disruptive Digital Services
• Decision-making capabilities of Artificial Intelligence Technologies
• Intelligent connectivity in Transportation & logistics
• Intelligent connectivity in Industrial & manufacturing operations
• Intelligent connectivity in Healthcare
• Intelligent connectivity in Public safety & security
• Intelligent traffic monitoring systems
• AI-based on-board computers to provide assistance to the Drivers
• Radio networks for road users share on a Real-Time Information
• Radio networks and AI will lead to reliable Self-Driving Vehicles
• Terrestrial and Aerial Unmanned Vehicles
• Factory Automation and Remote Control of Industrial Robots
• Internet applications driven by Intelligent Connectivity
• Intelligent Connectivity- Inspections, Maintenance and Repairs Remotely
• Intelligent Connectivity Facilitate Remote Diagnosis
• Intelligent Connectivity Enables Remote Surgery
• Potentially Revolutionizing Access to Medical Care
• The geographical location of medical experts
• The Adoption of Wearable Devices
• AI-based healthcare platforms
• Remote health monitoring and illness prevention
• Medicine, Medical Tools and equipment
• Conventional and Renewable Energy Systems
• Power Transmission and Distribution
• Energy markets and trading
• Remote diagnosis and medical operations
• Diagnosis anywhere at any time. With 5G and IoT
• Doctors to Perform Remote Surgery by Operating Specialized Robots
• Public safety and security
• Intelligent Connectivity - cities safer and help governing bodies fight crime
• Intelligent video-surveillance, security systems and emergency services
• Deployment of massive numbers of security alarms, sensors and cameras
• High-quality videos for enhanced remote
• Emergency services and border controls
• Cloud-based gaming servers and 3D hologram displays

Published Papers

  • Open Access


    Efficient Approach for Resource Allocation in WPCN Using Hybrid Optimization

    Richu Mary Thomas, Malarvizhi Subramani
    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1275-1291, 2022, DOI:10.32604/cmc.2022.024507
    (This article belongs to the Special Issue: Radio Networks for new Disruptive Digital Services in Fourth Industrial Revolution)
    Abstract The recent aggrandizement of radio frequency (RF) signals in wireless power transmission combined with energy harvesting methods have led to the replacement of traditional battery-powered wireless networks since the blooming RF technology provides energy renewal of wireless devices with the quality of service (QoS). In addition, it does not require any unnecessary alterations on the transmission hardware side. A hybridized global optimization technique uniting Global best and Local best (GL) based particle swarm optimization (PSO) and ant colony optimization (ACO) is proposed in this paper to optimally allocate resources in wireless powered communication networks (WPCN)… More >

  • Open Access


    Energy-Efficient Resource Optimization for Massive MIMO Networks Considering Network Load

    Samira Mujkic, Suad Kasapovic, Mohammed Abuibaid
    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 871-888, 2022, DOI:10.32604/cmc.2022.021441
    (This article belongs to the Special Issue: Radio Networks for new Disruptive Digital Services in Fourth Industrial Revolution)
    Abstract This paper investigates the resource optimization problem for a multi-cell massive multiple-input multiple-output (MIMO) network in which each base station (BS) is equipped with a large number of antennas and each base station (BS) adapts the number of antennas to the daily load profile (DLP). This paper takes into consideration user location distribution (ULD) variation and evaluates its impact on the energy efficiency of load adaptive massive MIMO system. ULD variation is modeled by dividing the cell into two coverage areas with different user densities: boundary focused (BF) and center focused (CF) ULD. All cells… More >

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