Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Making sense of meaning: A survey on metrics for semantic and goal-oriented communication
Semantic communication (SemCom) aims to convey the meaning behind a transmitted
message by transmitting only semantically-relevant information. This semantic-centric …
message by transmitting only semantically-relevant information. This semantic-centric …
Semantic communications: Principles and challenges
Semantic communication, regarded as the breakthrough beyond the Shannon paradigm,
aims at the successful transmission of semantic information conveyed by the source rather …
aims at the successful transmission of semantic information conveyed by the source rather …
Deep learning enabled semantic communication systems
Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …
to merge all physical layer blocks in the traditional communication systems, which make joint …
Deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data
H Zhang, S Shao, M Tao, X Bi… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Existing deep learning-enabled semantic communication systems often rely on shared
background knowledge between the transmitter and receiver that includes empirical data …
background knowledge between the transmitter and receiver that includes empirical data …
Deep learning enabled semantic communications with speech recognition and synthesis
In this paper, we develop a deep learning based semantic communication system for
speech transmission, named DeepSC-ST. We take the speech recognition and speech …
speech transmission, named DeepSC-ST. We take the speech recognition and speech …
Semantic communication with memory
While semantic communication succeeds in efficiently transmitting due to the strong
capability to extract the essential semantic information, it is still far from the intelligent or …
capability to extract the essential semantic information, it is still far from the intelligent or …
Semantic communications with variable-length coding for extended reality
Wireless extended reality (XR) has attracted wide attentions as a promising technology to
improve users' mobility and quality of experience. However, the ultra-high data rate …
improve users' mobility and quality of experience. However, the ultra-high data rate …
Semantic communications based on adaptive generative models and information bottleneck
S Barbarossa, D Comminiello… - IEEE …, 2023 - ieeexplore.ieee.org
Semantic communications represent a significant breakthrough with respect to the current
communication paradigm, as they focus on recovering the meaning behind the transmitted …
communication paradigm, as they focus on recovering the meaning behind the transmitted …
Generative semantic communication: Diffusion models beyond bit recovery
Semantic communication is expected to be one of the cores of next-generation AI-based
communications. One of the possibilities offered by semantic communication is the capability …
communications. One of the possibilities offered by semantic communication is the capability …