Abstract Internet of Things (IoT) devices can reduce their energy consumption by
computation offloading. However, IoT devices located in areas without deployed ground …

In time-slotted edge computing systems, task scheduling is conducted at the end of each
time slot to make task offloading decisions and resource allocation for all the tasks pending …

Optimizing the energy consumption of an MEC (Multi-Access Edge Computing) system is a
crucial challenge for operation cost reduction and environmental conservation. In this paper …

As a promising computing paradigm, mobile edge computing (MEC) can assist Internet of
Things (IoT) devices in processing computation-intensive tasks. However, because of the …

The Fifth-Generation (5G) networks facilitate the evolution of communication systems and
accelerate a revolution in the Information Technology (IT) field. In the 5G era, wireless …

In this article, the orthogonal frequency-division multiple access (OFDMA) integrated with
frequency spectrum (band) partitioning and equal bandwidth allocation is first introduced to …

To enhance the robustness and convergence of hierarchical federated learning (HFL) in
wireless networks with imperfect channel state information (CSI), a quantized HFL (QHFL) …

Due to the advancements of information technologies and the Internet of Things (IoT), the
number of distributed sensors and IoT devices in the social IoT (SIoT) systems is …

In recent years, edge computing, as an important pillar for future networks, has been
developed rapidly. Task offloading is a key part of edge computing that can provide …

To provide intelligent and accurate assistant driving services in smart city, as well as ensure
the security and tamper proof of vehicle data, this paper build a deep reinforcement learning …