Resource Allocation in Wireless Semantic Communications: A Comprehensive Survey
With the advent of sixth-generation mobile communication technology (6G) and the emergence of future application scenarios such as Metaverse and digital twin (DT), the existing traditional wireless communication technology based on Shannon’s information theory has not been able to meet the increasing demand for data transmission. Semantic communications (SemCom), which greatly reduces the amount of information transmitted and alleviates the burden of communication by transmitting the meaning behind the information, has been considered a promising 6G enabler. SemCom’s resource allocation is critical to the system’s reliability and effectiveness. Compared to traditional wireless communication systems, the system architecture and performance metrics of SemCom have undergone significant changes, making it difficult for traditional resource allocation strategies to adapt well to this new architecture. However, the issue remains unresolved and inadequately researched. In order to provide researchers with valuable insight to promote follow-up research, this paper reviews the latest research results in recent years and presents an overview of research progress in the field of resource allocation in wireless SemCom.
Authors
- Qian Ning (ORCID: https://orcid.org/0000-0002-8316-7732)
- Linyu Huang (ORCID: https://orcid.org/0000-0002-1285-6098)
- Chuzhe Zhang
Institutions
- Sichuan University (CN)
- Chengdu University of Information Technology (CN)
Publication Details
- Journal
- IEEE Communications Surveys & Tutorials
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1109/comst.2025.3595168
- Citations
- 5
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 6.07
Funders
- National Natural Science Foundation of China