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 …
Semantics-empowered communications: A tutorial-cum-survey
Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
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 …
Energy efficient semantic communication over wireless networks with rate splitting
In this paper, the problem of wireless resource allocation and semantic information
extraction for energy efficient semantic communications over wireless networks with rate …
extraction for energy efficient semantic communications over wireless networks with rate …
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 …
A unified multi-task semantic communication system for multimodal data
Task-oriented semantic communications have achieved significant performance gains.
However, the employed deep neural networks in semantic communications have to be …
However, the employed deep neural networks in semantic communications have to be …
Non-orthogonal multiple access enhanced multi-user semantic communication
Semantic communication has served as a novel paradigm and attracted a broad interest
from researchers. One critical aspect of it is the multi-user semantic communication theory …
from researchers. One critical aspect of it is the multi-user semantic communication theory …
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 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 …