The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

The integration of IoT and AI has gained significant attention as an emerging means to
digitize manufacturing industries and drive sustainability in the context of Industry 4.0. In …

Image sensors with internal computing capability enable in-sensor computing that can
significantly reduce the communication latency and power consumption for machine vision …

In mobile edge computing (MEC) systems, edge service caching refers to pre-storing the
necessary programs for executing computation tasks at MEC servers. Service caching …

Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to
cooperatively train a deep learning model, without the need to share their local data. It is a …

Mobile Edge Computing (MEC) brings abundant cloud resources to the edge of the network
and provides great opportunities to improve user's quality of experience. While many recent …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

With the proliferation of connected devices including smartphones, novel network
connectivity and management methods are needed to meet user Quality of Experience …

Integrated sensing and communications (ISAC) is a pillar technology of 6G to enable
intelligent environment awareness and hardware cost efficiencies. In ISAC-aided 6G vehicle …

Wireless multiplayer interactive virtual reality (VR) game has the high computing workload of
VR and unpredictable interaction among players, which brings severe challenges to the …