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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The power requirements posed by the fifth-generation and beyond cellularnetworks are an important constraint in network deployment and requireenergy-efficient solutions. In this work, we propose a novel user load transferapproach using airborne base stations (BS), mounted on drones, for reliable andsecure power redistribution across the micro-grid network comprising greensmall cell BSs. Depending on the user density and the availability of an aerialBS, the energy requirement of a cell with an energy deficit is accommodated bymigrating the aerial BS from a high-energy to a low-energy cell. The proposedhybrid drone-based framework integrates long short-term memory with unique costfunctions using an evolutionary neural network for drones and BSs, andefficiently manages energy and load redistribution. The proposed algorithmreduces power outages at BSs and maintains consistent throughput stability,thereby demonstrating its capability to boost the reliability and robustness ofwireless communication systems.

DroneOptiNet: A Framework for Optimal Drone-based Load Redistribution Mechanism for 5G and Beyond Solar Small Cell Networks