Large number of Internet of Things (IoT) devices deployed on demand to monitor
surroundings and offload computation-intensive tasks to edge servers, which favors low …

Meeting huge traffic demand with resource constraints imposes a significant challenge for
future generation wireless networks. In this work, we propose to utilize limited resources in a …

This work proposes a dynamic numerology scheme assignment framework to provision
mobile-edge computing (MEC) for massive Internet of Things (IoT) networks via unmanned …

Traditional industrial networks primarily focus on onsite device operation and worker safety.
They do not engage in the ongoing digital transformation with remote control machinery and …

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 …

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 …

We consider the problem of resource slicing in the 6 th generation multi-access edge
computing (6G-MEC) network. The network includes many non-stationary space-air-ground …

Due to the proliferation of devices and the availability of computing servers, mobile-edge
computing (MEC) has gained popularity in executing various computational tasks. MEC …

We propose a novel multi-tier (top, intermediate, and bottom tiers) architecture at the edge of
a heterogeneous network (HetNet) where non-orthogonal multiple access (NOMA) provides …

Edge computing has emerged as a critical infrastructure for deploying AI-driven
microservices, particularly for applications requiring low-latency and high-performance, such …