Special Issue "Green IoE for Smart 5G and beyond (5GB) Applications"

Submission Deadline: 28 October 2022
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Guest Editors
Dr. Issa Elfergani, Instituto de Telecomunicações, University of Aveiro, Portugal; Bradford University, UK
Prof. Jonathan Rodriguez,Instituto de Telecomunicações, University of Aveiro,Portugal
Prof. C. Zebiri,University of Ferhat Abbas, Algeria
Dr. Abubakar Sadiq Hussaini, American University of Nigeria, Nigeria
Prof. Raed A. Abd-Alhameed, Bradford University, UK


The evolution towards 5GB is considered to be the convergence of Internet services with legacy mobile networking standards, leading to what is commonly referred to as the ‘mobile Internet’ over Heterogeneous Networks (HetNets), with very high connectivity speeds. Green communications seem to also play a pivotal role in this evolutionary path, with key mobile stakeholders driving momentum towards a greener mobile ecosystem through cost‐effective design approaches. Moreover, it is becoming increasingly clear from new emerging services and technological trends that the future is heading towards a digital world, where not only end-users, but devices or things will be interconnected through a wireless internet. This will give rise to new business models based on smart applications, that will put in place new design requirements for next generation mobile networks, the so called 5GB era , that includes  energy and cost‐per‐bit reduction, service ubiquity and high‐speed connectivity as desirable traits.

This special issue targets some high quality research and practical case studies in the very active field of reconfigurable transceivers, computational models for big data and beyond that green networking for internet of everything (IoE) applications to provide design recommendations for tomorrow’s ICT (Information and Communication Technologies) networks. We aim to harness the fragmented views on 5GB mobile communications to paint a more focused technology roadmap, putting in place a clear set of challenges, requirements and proposals to address the IoE challenges.

• Artificial Intelligent (AI)
• Computational Model for Big Data Processing
• Reconfigurable Antennas
• Energy Efficient Processing (DSP)
• Energy Efficient Power Amplifier Design
• Matching Networks
• Software Defined Radio and Reconfigurable Platforms
• Energy Efficient Baseband Signal Processing
• Nano Technologies
• Microelectronics Systems and Design
• MEMS Filtering
• Energy Efficient Networking Topologies
• Cooperative and Cognitive Networks
• Network Coding
• Cross-layer and Cross-System Optimization Strategies for Wireless Multimedia
• Short-Range Communications
• Energy Efficient Radio Resource and Mobility Management
• Smart cities, smart grid, smart home, smart E-health.