QoE-aware resource allocation for semantic communication networks

L Yan, Z Qin, R Zhang, Y Li… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
With the aim of accomplishing intelligence tasks, semantic communications transmit task-
related information only, yielding significant performance gains over conventional …

Adaptive resource allocation for semantic communication networks

L Wang, W Wu, F Zhou, Z Yang, Z Qin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …

Toward intelligent resource allocation on task-oriented semantic communication

H Zhang, H Wang, Y Li, K Long… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Task-oriented semantic communication (TOSC) has significant advantages in reducing the
amount of data transmission and alleviating the scarcity of spectrum resources. Unlike …

DRL-driven dynamic resource allocation for task-oriented semantic communication

H Zhang, H Wang, Y Li, K Long… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Semantic communication has been regarded as a promising technology to serve upcoming
intelligent applications. However, few studies have addressed the problem of resource …

Wireless resource management in intelligent semantic communication networks

L Xia, Y Sun, X Li, G Feng… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
The prosperity of artificial intelligence (AI) has laid a promising paradigm of communication
system, ie, intelligent semantic communication (ISC), where semantic contents, instead of …

From semantic communication to semantic-aware networking: Model, architecture, and open problems

G Shi, Y Xiao, Y Li, X Xie - IEEE Communications Magazine, 2021 - ieeexplore.ieee.org
Existing communication systems are mainly built based on Shannon's information theory,
which deliberately ignores the semantic aspects of communication. The recent iteration of …

Resource allocation for text semantic communications

L Yan, Z Qin, R Zhang, Y Li… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Semantic communications have shown its great potential to improve the transmission
reliability, especially in the low signal-to-noise regime. However, resource allocation for …

Performance optimization for semantic communications: An attention-based learning approach

Y Wang, M Chen, W Saad, T Luo… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
In this paper, a semantic communication framework is proposed for wireless networks. In the
proposed framework, a base station (BS) extracts the semantic information from textual data …

Performance optimization for semantic communications: An attention-based reinforcement learning approach

Y Wang, M Chen, T Luo, W Saad… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, a semantic communication framework is proposed for textual data
transmission. In the studied model, a base station (BS) extracts the semantic information …

Optimization of image transmission in cooperative semantic communication networks

W Zhang, Y Wang, M Chen, T Luo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, a semantic communication framework for image data transmission is
developed. In the investigated framework, a set of servers cooperatively transmit image data …