TY - GEN
T1 - SEMUAV
T2 - 2023 IEEE Globecom Workshops, GC Wkshps 2023
AU - Ma, Shaobo
AU - Liang, Wei
AU - Zhang, Boxuan
AU - Xue, Xuan
AU - Gao, Ang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the development of sixth-generation (6G) networks, semantic communication has been recognized as an emerging technology that could provide intelligent Communication, where message is transmitted with less data volume, alleviating the problem of resource constraints. At the same time, the shared unique knowledge base between the transmitter and receiver reduces the risk of messages being intercepted, since the interceptor cannot decode them. In this paper, we combined semantic communication with SATIN and proposed UAV-assisted communication methods named SEMUAV-AF as well as SEMUAV-DF. Meanwhile, we designed a SNR-Adaptive module and a lightweight model for better practical deployment. The simulation results prove that the proposed model is more efficient than the communication without UAV assistance, while adaptive module and lightweight model could also meet expec-tations. Overall, our proposed approach of cooperative semantic communication could improve the performance of SATIN system while ensuring information security.
AB - With the development of sixth-generation (6G) networks, semantic communication has been recognized as an emerging technology that could provide intelligent Communication, where message is transmitted with less data volume, alleviating the problem of resource constraints. At the same time, the shared unique knowledge base between the transmitter and receiver reduces the risk of messages being intercepted, since the interceptor cannot decode them. In this paper, we combined semantic communication with SATIN and proposed UAV-assisted communication methods named SEMUAV-AF as well as SEMUAV-DF. Meanwhile, we designed a SNR-Adaptive module and a lightweight model for better practical deployment. The simulation results prove that the proposed model is more efficient than the communication without UAV assistance, while adaptive module and lightweight model could also meet expec-tations. Overall, our proposed approach of cooperative semantic communication could improve the performance of SATIN system while ensuring information security.
KW - Cooperative Communication
KW - Deep Learning
KW - SATIN
KW - Semantic Communication
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85190241880&partnerID=8YFLogxK
U2 - 10.1109/GCWkshps58843.2023.10464908
DO - 10.1109/GCWkshps58843.2023.10464908
M3 - 会议稿件
AN - SCOPUS:85190241880
T3 - 2023 IEEE Globecom Workshops, GC Wkshps 2023
SP - 2129
EP - 2134
BT - 2023 IEEE Globecom Workshops, GC Wkshps 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 December 2023 through 8 December 2023
ER -