TY - GEN
T1 - Multimodal Learning for Integrated Sensing and Communication Networks
AU - Liu, Xiaonan
AU - Ratnarajah, Tharmalingam
AU - Sellathurai, Mathini
AU - Eldar, Yonina C.
N1 - Publisher Copyright: © 2024 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Integrated sensing and communication (ISAC) is a promising technique for beyond 5G networks. In ISAC networks, the sensed environmental data may be multimodal data, which may result in high computation and communication latency due to the large size of data modalities and limited computation capability of mobile devices. To solve the problem, in this paper, we propose multimodal learning in ISAC networks. Simulation results show that the proposed multimodal learning design significantly outperforms several benchmarks without considering multimodal data sensing and communication.
AB - Integrated sensing and communication (ISAC) is a promising technique for beyond 5G networks. In ISAC networks, the sensed environmental data may be multimodal data, which may result in high computation and communication latency due to the large size of data modalities and limited computation capability of mobile devices. To solve the problem, in this paper, we propose multimodal learning in ISAC networks. Simulation results show that the proposed multimodal learning design significantly outperforms several benchmarks without considering multimodal data sensing and communication.
KW - Integrated sensing and communication
KW - multimodal learning
UR - http://www.scopus.com/inward/record.url?scp=85208432293&partnerID=8YFLogxK
M3 - منشور من مؤتمر
T3 - European Signal Processing Conference
SP - 1177
EP - 1181
BT - 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings
T2 - 32nd European Signal Processing Conference, EUSIPCO 2024
Y2 - 26 August 2024 through 30 August 2024
ER -