Large Multimodal Model-Based Environment-Aware Mobility Management
Recently, large language models (LLMs) have been successfully adopted in various fields, including wireless communications, robotics, and autonomous vehicles, owing to their outstanding adaptability and reasoning abilities. Despite their huge potential, the application of LLMs for mobility management is relatively scarce since it requires not only analyzing wireless measurements but also predicting dynamic user trajectories and making real-time handover decisions across densely deployed small base stations (SBSs). In this paper, we propose an environment-aware mobility management scheme based on large multimodal models (LMMs), which extend capabilities of LLMs to process multimodal sensin...
| Authors | Seokhyun Jeong, Sangmok Shin, Seungnyun Kim et al. |
|---|---|
| Primary category | cs.IT |
| Published | 9 July 2026 |
| Last updated at source | 9 July 2026 |
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