This article studies the joint optimization problem of computation offloading and resource
allocation (JCORA) in mobile-edge computing (MEC). Deep reinforcement learning (DRL) is …

Time series data usually contains local and global patterns. Most of the existing feature
networks focus on local features rather than the relationships among them. The latter is also …

Abstract Design complexities of trending UAVs and the operational harsh environments
necessitates Control Law formulation utilizing intelligent techniques that are both robust …

The integrated satellite-terrestrial network (ISN) is an emerging framework that complements
the ground 5G network with global network access. The satellite layer consists of Low Earth …

Time-sensitive applications, eg, Internet of vehicles applications and tactile Internet
applications, put forward low latency and high throughput requirements for communication …

The future network is expected to support extremely large bandwidth, ultra-low latency or
deterministic delay, extremely high reliability, and massive connectivity for novel forward …

With the rapid growth of different massive applications and parallel flow requests in Data
Center Networks (DCNs), today's providers are confronting challenges in flow forwarding …

Over the years, a large number of deep learning algorithms have been developed for time
series classification (TSC). These algorithms were usually invented by researchers with prior …

Software-Defined Networking (SDN) enhances network control but faces Distributed Denial
of Service (DDoS) attacks due to centralized control and flow-table constraints in network …

Multi-agent reinforcement learning (MARL) has become more and more popular over the
past decades, and many value-based MARL methods are proposed in the past few years …