The development of Optical Satellite Networks (OSNs) is crucial for the evolution of next-generation networks. A significant technical challenge that occurred in OSNs is the limited energy available of satellites, which restricts power-intensive tasks like continuous communication and link reliability. To relieve this...
Hua Wang, Wei Wang, Yong-Li Zhao et al.· IEEE Open Journal of the Com...· 0 citations
Multi-modal sensing has demonstrated remarkable efficacy for intra-site beam prediction. However, generalizing trained models to unseen environments remains a significant challenge, primarily due to the inherent environment-specific wireless propagation characteristics. Existing cross-environment works rely on either r...
Lei Wang, Chang-Yi Li, Kai Dong et al.· IEEE International Symposium...· 0 citations
Large Language Model (LLM) reprogramming-based beam prediction demonstrates strong data efficiency by adapting pretrained language models for vehicle-to-infrastructure (V2I) beam prediction, yet the resulting model complexity makes such approaches impractical for latency-sensitive deployment. We propose LLMBP-Lite, a c...
Kai Dong, Lei Wang, Chang-Yi Li et al.· 0 citations
A nonconvex energy cost minimization problem is introduced by considering a user-specific energy cost ratio coefficient that explicitly balances UE-AP energy consumption according to heterogeneous device energy states and a double-loop framework combining successive convex approximation and alternating direction method...
Kai Dong, Lei Wang, S. Vorobyov et al.· IEEE Transactions on Wireles...· 0 citations
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