The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …

Mobile edge computing sinks computing and storage capabilities to the edge of the network
to provide reliable and low-latency services. However, the mobility of users and the limited …

Mobile networks experience a tremendous increase in data volume and user density due to
the massive number of coexisting users and devices. An efficient technique to alleviate this …

Edge computing is a new way of computing that uses resources at the edge of a network to
solve the problem of communication delays in applications that require immediate …

Abstract The Cloud-to-Things (C2T) continuum combines the proximity of edge infrastructure
to the devices with cloud resources to optimize data processing and response time in the …

In recent years, with the rapid growth in the demand for online streaming services, video
streaming platforms are becoming more and more popular, and users' demand for low …

The concept of edge caching provision in emerging 5G and beyond mobile networks is a
promising method to deal both with the traffic congestion problem in the core network, as …

The mobile edge computing (MEC) paradigm provides cloud and application services at the
“edge” of user networks for providing ubiquitous access to resources. The heterogeneous …

In this paper, we present a deep learning-based Device-to-Device (D2D) approach that
utilizes Gated Recurrent Unit (GRU) model that is optimized through Bayesian optimization …

Edge caching is an increasingly vital technique in wireless networks, particularly needed to
address users' repeated demands, including real-time traffic data and map access in …