6G networks are envisioned to deliver a large diversity of applications and meet stringent
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …

With the exponential growth of wireless devices and the demand for real-time processing,
traditional server architectures face challenges in meeting the ever-increasing …

Edge computing is a scalable, modern, and distributed computing architecture that brings
computational workloads closer to smart gateways or Edge devices. This computing model …

Edge computing emerges as a pivotal model in the era of next-generation consumer
electronics and the emerging challenges of multimodal data-driven decision-making …

Fog computing is a key component of future intelligent transportation systems (ITSs) that can
support the high computation and large storage requirements needed for autonomous …

In the present era of seamless connectivity which demands enormous smart devices to be
allied and send data to the cloud, it seems imperative to organize and process cloud-based …

With the proliferation of the Internet of Things and smart devices, there exists an urge to
address the critical computation demands of end users for several real-time applications …

In recent years, in addition to the significant growth in intelligent transportation systems with
new concepts such as SDN (Software Defined Networks), fog computing, and new machine …

Robotics has been transformed by machine learning (ML), enabling intelligent and adaptive
autonomous systems. By delivering massive computational resources and real-time data …

Energy consumption analysis and resource allocation (RA) for mobile devices need the
efficient distribution of computational resources and the detailed analysis of power usage …