Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2024 32nd European Signal Processing Conference (EUSIPCO) |
| Publisher | IEEE |
| Pages | 1177-1181 |
| Number of pages | 5 |
| ISBN (Electronic) | 9789464593617 |
| ISBN (Print) | 9798331519773 |
| DOIs | |
| Publication status | Published - 23 Oct 2024 |
| Event | 32nd European Signal Processing Conference 2024 - Lyon, France, Lyon, France Duration: 26 Aug 2024 → 30 Aug 2024 https://eusipcolyon.sciencesconf.org/ https://eurasip.org/Proceedings/Eusipco/Eusipco2024/HTML/index.html |
Conference
| Conference | 32nd European Signal Processing Conference 2024 |
|---|---|
| Abbreviated title | EUSIPCO 2024 |
| Country/Territory | France |
| City | Lyon |
| Period | 26/08/24 → 30/08/24 |
| Internet address |
Keywords
- Integrated sensing and communication
- multimodal learning
- Accuracy
- 5G mobile communication
- Simulation
- Europe
- Signal processing
- Benchmark testing
- Mobile handsets
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering