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

Semantic communication is considered the future of mobile communication,which aims to transmit data beyond Shannon's theorem of communications bytransmitting the semantic meaning of the data rather than the bit-by-bitreconstruction of the data at the receiver's end. The semantic communicationparadigm aims to bridge the gap of limited bandwidth problems in modernhigh-volume multimedia application content transmission. Integrating AItechnologies with the 6G communications networks paved the way to developsemantic communication-based end-to-end communication systems. In this study,we have implemented a semantic communication-based end-to-end imagetransmission system, and we discuss potential design considerations indeveloping semantic communication systems in conjunction with physical channelcharacteristics. A Pre-trained GAN network is used at the receiver as thetransmission task to reconstruct the realistic image based on the Semanticsegmented image at the receiver input. The semantic segmentation task at thetransmitter (encoder) and the GAN network at the receiver (decoder) is trainedon a common knowledge base, the COCO-Stuff dataset. The research shows that theresource gain in the form of bandwidth saving is immense when transmitting thesemantic segmentation map through the physical channel instead of the groundtruth image in contrast to conventional communication systems. Furthermore, theresearch studies the effect of physical channel distortions and quantizationnoise on semantic communication-based multimedia content transmission.

Wireless End-to-End Image Transmission System using Semantic Communications