Semantic Edge Computing (SEC) and Semantic Communications (SemComs) are being explored for real-time intelligence in 6G wireless networks.
SemCom utilizes Deep Neural Networks (DNNs) to encode and communicate semantic information while SEC uses distributed DNNs to optimize computing across devices.
This work aims to bridge the gap between SEC and SemCom by analyzing research problems, technical strengths, and challenges in both fields.
The study provides a comprehensive overview of the current state of the art in SEC and SemCom for 6G networks.