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 connectivity of public-safety mobile users (MU) in the co-existence of apublic-safety network (PSN), unmanned aerial vehicles (UAVs), and LTE-basedrailway networks (LRN) needs a thorough investigation. UAVs are deployed asmobile base stations (BSs) for cell-edge coverage enhancement for MU. Theco-existence of heterogeneous networks gives rise to the issue of co-channelinterference due to the utilization of the same frequency band. By consideringboth sharing and non-sharing of radio access channels (RAC), we analyzeco-channel interference in the downlink system of PSN, UAV, and LRN. As the LRNcontrol signal demands high reliability and low latency, we provide higherpriority to LRN users when allocating resources from the LRN RAC shared withMUs. Moreover, UAVs are deployed at the cell edge to increase the performanceof cell-edge users. Therefore, interference control techniques enable LRN, PSN,and UAVs to cohabit in a scenario of sharing RAC. By offloading more PSN UEs tothe LRN or UAVs, the resource utilization of the LRN and UAVs BSs is enhanced.In this paper, we aim to adopt deep learning (DL) based on enhancedinter-cell-interference coordination (eICIC) and further enhanced ICIC (FeICIC)strategies to deal with the interference from the PSN to the LRN and UAVs.Among LRN, PSN BS, and UAVs, a DL-based coordinated multipoint (CoMP) linktechnique is utilized to enhance the performance of PSN MUs. Therefore, ifradio access channels are shared, utilization of DL-based FeICIC and CoMP forcoordinated scheduling gives the best performance.

Co-channel Interference Management for the Next-Generation Heterogeneous Networks using Deep Leaning