With the technological evolution of mobile devices, 5G and 6G communication and users'
demand for new generation applications viz. face recognition, image processing …

This paper studies the artificial intelligent (AI) task deployment problem of a multi-access
edge intelligent system in a 6G network, in which the cloud server broadcasts the AI program …

This paper presents a security paradigm for edge devices to defend against various internal
and external threats. The first section of the manuscript proposes employing machine …

The revolutions of computing and communication have opened up demands for the high
quality of service (QoS), such as high data transmission, high reliability, and low latency …

Both Device-to-device (D2D) and full-duplex (FD) have been widely recognized as spectrum
efficient techniques in the fifth-generation (5G) networks. By combining them, the FD-D2D …

The Industrial Internet of Things (IIoT) leverages thousands of interconnected sensors and
computing devices to monitor and control large and complex industrial processes. Machine …

The 6G network, the next‐generation communication system, is envisaged to provide
unprecedented experience through hyperconnectivity involving everything. The …

Technology advancement in semiconductors enables integration of large number of cores
on a single chip that leads to the design and development of Multi-Processor System on …

AI-driven edge computing is a development trend of the Industrial Internet of Things (IIoT).
However, most existing solutions ignore the limitations of flexibility, security, and real-time …

Edge computing is essential to enhance delay-sensitive and computation-intensive machine
learning (ML) task inference services. Quality of inference results, which is mainly impacted …