Less data, more knowledge: Building next generation semantic communication networks

C Chaccour, W Saad, M Debbah… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Semantic communication is viewed as a revolutionary paradigm that can potentially
transform how we design and operate wireless communication systems. However, despite a …

Making sense of meaning: A survey on metrics for semantic and goal-oriented communication

TM Getu, G Kaddoum, M Bennis - IEEE Access, 2023 - ieeexplore.ieee.org
Semantic communication (SemCom) aims to convey the meaning behind a transmitted
message by transmitting only semantically-relevant information. This semantic-centric …

Deep learning enabled semantic communication systems

H Xie, Z Qin, GY Li, BH Juang - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
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 …

Energy efficient semantic communication over wireless networks with rate splitting

Z Yang, M Chen, Z Zhang… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
In this paper, the problem of wireless resource allocation and semantic information
extraction for energy efficient semantic communications over wireless networks with rate …

DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks

D Yang, W Zhang, Q Ye, C Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, we present a three-layer (ie, device, field, and factory layers) deterministic
federated learning (FL) framework, named DetFed, which accelerates collaborative learning …

Semantics-empowered communications: A tutorial-cum-survey

Z Lu, R Li, K Lu, X Chen, E Hossain… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
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 …

Networking architecture and key supporting technologies for human digital twin in personalized healthcare: A comprehensive survey

J Chen, C Yi, SD Okegbile, J Cai… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …

Ringsfl: An adaptive split federated learning towards taming client heterogeneity

J Shen, N Cheng, X Wang, F Lyu, W Xu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has gained increasing attention due to its ability to collaboratively
train while protecting client data privacy. However, vanilla FL cannot adapt to client …

Non-orthogonal multiple access enhanced multi-user semantic communication

W Li, H Liang, C Dong, X Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Adaptable semantic compression and resource allocation for task-oriented communications

C Liu, C Guo, Y Yang, N Jiang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Task-oriented communication is a new paradigm that aims at providing efficient connectivity
for accomplishing intelligent tasks rather than reception of every transmitted bit. This paper …