The evolution of the future beyond-5G/6G networks toward a service-aware network is
based on network slicing technology. With network slicing, communication service providers …

This paper proposes a novel transmission policy for a wireless powered sensor network
(WPSN) assisted by an intelligent reflecting surface (IRS) to enhance the performance of …

Multi-access edge computing (MEC) provides cloud-like services at the edge of the radio
access network close to mobile devices (MDs). This infrastructure can provide low-latency …

Recently, Edge Computing (EC) has become a promising enabler to support emerging
applications in 5G mobile networks by offloading compute-intensive tasks from devices to …

In large-scale multi-access edge computing (MEC) networks, each device should make the
computation offloading decision distributively. In this paper, we target on a delay-optimal …

This paper explores the evolution of wireless communication networks from utilizing the sub-
6 GHz spectrum and the millimeter wave frequency band to incorporating extremely high …

We study the problem of ultrareliable and low-latency slicing in multiaccess edge computing
(MEC) systems for the next-generation Internet of Things (IoT) and mobile applications …

In order to cope with the demand of explosively increasing service diversity and quality,
network slicing has become the key technology of next-generation mobile communication …

Unmanned aerial vehicles (UAVs) have attracted great research attention due to their
flexibility. In this paper, the use of UAVs in wireless sensor networks as an energy transmitter …

In this paper, we propose a federated deep reinforcement learning framework to solve a
multi-objective optimization problem, where we consider minimizing the expected long-term …