Ahmed, Ishtiaque and Sun, Yingzhuo and Fu, Jingwen and Köse, Alper and Musavian, Leila and Xiao, Ming and Özbek, Berna (2025) Semantic Communications in 6G: Coexistence, Multiple Access, and Satellite Networks. IEEE Communications Standards Magazine, 9 (4). pp. 58-64. DOI https://doi.org/10.1109/MCOMSTD.2025.3592327
Ahmed, Ishtiaque and Sun, Yingzhuo and Fu, Jingwen and Köse, Alper and Musavian, Leila and Xiao, Ming and Özbek, Berna (2025) Semantic Communications in 6G: Coexistence, Multiple Access, and Satellite Networks. IEEE Communications Standards Magazine, 9 (4). pp. 58-64. DOI https://doi.org/10.1109/MCOMSTD.2025.3592327
Ahmed, Ishtiaque and Sun, Yingzhuo and Fu, Jingwen and Köse, Alper and Musavian, Leila and Xiao, Ming and Özbek, Berna (2025) Semantic Communications in 6G: Coexistence, Multiple Access, and Satellite Networks. IEEE Communications Standards Magazine, 9 (4). pp. 58-64. DOI https://doi.org/10.1109/MCOMSTD.2025.3592327
Abstract
The exponential growth of wireless users and bandwidth constraints necessitates innovative communication paradigms for next-generation networks. Semantic Communication (SemCom) emerges as a promising solution by transmitting extracted meaning rather than raw bits, enhancing spectral efficiency and enabling intelligent resource allocation. This paper explores the integration of SemCom with conventional Bit-based Communication (BitCom) in heterogeneous networks, highlighting key challenges and opportunities. We analyze multiple access techniques, including Non-Orthogonal Multiple Access (NOMA), to support coexisting SemCom and BitCom users. Furthermore, we examine multi-modal SemCom frameworks for handling diverse data types and discuss their applications in satellite networks, where semantic techniques mitigate bandwidth limitations and harsh channel conditions. Finally, we identify future directions for deploying semantic-aware systems in 6G and beyond.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Semantic Communication (SemCom), 6G Networks, Non-Orthogonal Multiple Access (NOMA), Deep Learning for Communications, Satellite Communication |
| Subjects: | Z Bibliography. Library Science. Information Resources > ZR Rights Retention |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 24 Jul 2025 14:24 |
| Last Modified: | 11 Nov 2026 12:51 |
| URI: | http://repository.essex.ac.uk/id/eprint/41301 |
Available files
Filename: Semantic_Communications_for_6G_Magazine_Paper.pdf
Licence: Creative Commons: Attribution 4.0