English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Future Mobile Networks (MNs), 5G and beyond 5G, will require a paradigm shiftfrom traditional resource allocation mechanisms as Base Stations (BSs) will beempowered with computation capabilities (i.e., offloading and computation isperformed closer to mobile users). This is motivated by the expected dataexplosion in the volume, variety, and velocity, generated by pervasive mobileand Internet of Things (IoT) devices at the network edge. Towards efficientresource management, within the Multi-access Edge Computing (MEC) paradigm, wemake use of the Long Short-Term Memory (LSTM) neural network for time seriesforecasting and control-theoretic techniques for foresighted optimization, thusbringing intelligent mechanisms for handling network resources within thenetwork edge. Here, we propose online algorithms for autoscaling andreconfiguring the computing-plus-communication resources within the virtualizedcomputing platform, and also enable dynamic switching on/off BSs by taking intoaccount the forecasted traffic load and harvested energy. The main goal is tominimize the overall energy consumption, with a guarantee of Quality of Service(QoS). Our numerical results, obtained through trace-driven simulations, showthat the proposed optimization strategies lead to a considerable reduction inthe energy consumed by the edge computing and communication facilities,promoting energy self-sustainability within the MN through the use of greenenergy.

Core Network Management Procedures for Self-Organized and Sustainable 5G Cellular Networks