Resource allocation for semantic communication under physical-layer security
Semantic communication is deemed as a revolution of Shannon’s paradigm in the six-generation (6G) wireless networks. It aims at transmitting the extracted information rather than the original data, which receivers will try to recover. Intuitively, the larger extracted information, the longer latency...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/172620 https://globecom2023.ieee-globecom.org/ |
| _version_ | 1811694148790517760 |
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| author | Li, Yang Zhou, Xinyu Zhao, Jun |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Li, Yang Zhou, Xinyu Zhao, Jun |
| author_sort | Li, Yang |
| collection | NTU |
| description | Semantic communication is deemed as a revolution of Shannon’s paradigm in the six-generation (6G) wireless networks. It aims at transmitting the extracted information rather than the original data, which receivers will try to recover. Intuitively, the larger extracted information, the longer latency of semantic communication will be. Besides, larger extracted information will result in more accurate reconstructed information, thereby causing a higher utility of the semantic communication system. Shorter latency and higher utility are desirable objectives for the system, so there will be a trade-off between utility and latency. This paper proposes a joint optimization algorithm for
total latency and utility. Moreover, security is essential for the semantic communication system. We incorporate the secrecy rate, a physical-layer security method, into the optimization problem. The secrecy rate is the communication rate at which no information is disclosed to an eavesdropper. Experimental results demonstrate that the proposed algorithm obtains the best joint optimization performance compared to the baselines. |
| first_indexed | 2024-10-01T07:02:58Z |
| format | Conference Paper |
| id | ntu-10356/172620 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:02:58Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1726202024-03-06T02:18:19Z Resource allocation for semantic communication under physical-layer security Li, Yang Zhou, Xinyu Zhao, Jun School of Computer Science and Engineering Interdisciplinary Graduate School (IGS) 2023 IEEE Global Communications Conference (GLOBECOM). Energy Research Institute @ NTU (ERI@N) Computer and Information Science Semantic Communication Rsource Allocation Semantic communication is deemed as a revolution of Shannon’s paradigm in the six-generation (6G) wireless networks. It aims at transmitting the extracted information rather than the original data, which receivers will try to recover. Intuitively, the larger extracted information, the longer latency of semantic communication will be. Besides, larger extracted information will result in more accurate reconstructed information, thereby causing a higher utility of the semantic communication system. Shorter latency and higher utility are desirable objectives for the system, so there will be a trade-off between utility and latency. This paper proposes a joint optimization algorithm for total latency and utility. Moreover, security is essential for the semantic communication system. We incorporate the secrecy rate, a physical-layer security method, into the optimization problem. The secrecy rate is the communication rate at which no information is disclosed to an eavesdropper. Experimental results demonstrate that the proposed algorithm obtains the best joint optimization performance compared to the baselines. Ministry of Education (MOE) Submitted/Accepted version This research is partly supported by the Singapore Ministry of Education Academic Research Fund under Grant Tier 1 RG90/22, Grant Tier 1 RG97/20, Grant Tier 1 RG24/20 and Grant Tier 2 MOE2019-T2-1-176; and partly by the Nanyang Technological University (NTU)-Wallenberg AI, Autonomous Systems and Software Program (WASP) Joint Project. 2023-12-28T08:10:05Z 2023-12-28T08:10:05Z 2023 Conference Paper Li, Y., Zhou, X. & Zhao, J. (2023). Resource allocation for semantic communication under physical-layer security. 2023 IEEE Global Communications Conference (GLOBECOM)., 2063-2068. https://dx.doi.org/10.1109/GLOBECOM54140.2023.10437297 https://hdl.handle.net/10356/172620 10.1109/GLOBECOM54140.2023.10437297 https://globecom2023.ieee-globecom.org/ 2063 2068 en RG90/22 RG97/20 RG24/20 MOE2019-T2-1-176 © 2023 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/GLOBECOM54140.2023.10437297. application/pdf |
| spellingShingle | Computer and Information Science Semantic Communication Rsource Allocation Li, Yang Zhou, Xinyu Zhao, Jun Resource allocation for semantic communication under physical-layer security |
| title | Resource allocation for semantic communication under physical-layer security |
| title_full | Resource allocation for semantic communication under physical-layer security |
| title_fullStr | Resource allocation for semantic communication under physical-layer security |
| title_full_unstemmed | Resource allocation for semantic communication under physical-layer security |
| title_short | Resource allocation for semantic communication under physical-layer security |
| title_sort | resource allocation for semantic communication under physical layer security |
| topic | Computer and Information Science Semantic Communication Rsource Allocation |
| url | https://hdl.handle.net/10356/172620 https://globecom2023.ieee-globecom.org/ |
| work_keys_str_mv | AT liyang resourceallocationforsemanticcommunicationunderphysicallayersecurity AT zhouxinyu resourceallocationforsemanticcommunicationunderphysicallayersecurity AT zhaojun resourceallocationforsemanticcommunicationunderphysicallayersecurity |