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 …
Large ai model-based semantic communications
Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for
various future applications like metaverse, mixed reality, and the Internet of everything …
various future applications like metaverse, mixed reality, and the Internet of everything …
SCAN: Semantic communication with adaptive channel feedback
In existing semantic communication systems for image transmission, some images are
generally reconstructed with considerably low quality. As a result, the reliable transmission …
generally reconstructed with considerably low quality. As a result, the reliable transmission …
Adaptive resource allocation for semantic communication networks
In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …
bit quantization (SBQ) compatible with existing wireless communications, where the …
OFDM-based digital semantic communication with importance awareness
Semantic communication (SemCom) has received considerable attention for its ability to
reduce data transmission size while maintaining task performance. However, existing works …
reduce data transmission size while maintaining task performance. However, existing works …
Cooperative semantic communication with on-demand semantic forwarding
B Tang, L Huang, Q Li… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
In this paper, a deep learning-based cooperative semantic communication system is
proposed on relay channels. In order to enhance the reliability and adaptability of the system …
proposed on relay channels. In order to enhance the reliability and adaptability of the system …
RIS-enhanced semantic communications adaptive to user requirements
Semantic communication, through the interpretation of the semantic meaning of transmitted
data, effectively reduces the required bandwidth. However, current deep learning-based …
data, effectively reduces the required bandwidth. However, current deep learning-based …
QoE-based semantic-aware resource allocation for multi-task networks
By transmitting task-related information only, semantic communications yield significant
performance gains over conventional communications. However, the lack of mature …
performance gains over conventional communications. However, the lack of mature …
Resource Allocation Design for Next-Generation Multiple Access: A Tutorial Overview
Multiple access is the cornerstone technology for each generation of wireless cellular
networks and resource allocation design plays a crucial role in multiple access. In this …
networks and resource allocation design plays a crucial role in multiple access. In this …
Joint URLLC Traffic Scheduling and Resource Allocation for Semantic Communication Systems
Recently, deep learning (DL) based semantic communication systems have shown great
potential to improve transmission efficiency in various tasks. However, the coexisting …
potential to improve transmission efficiency in various tasks. However, the coexisting …