Spatio-temporal traffic data analysis is essential for 5G and intelligent network systems. However, existing methods often employ isolated models, neglecting shared spatiotemporal correlations and incurring prohibitive computational overhead. To address these issues, we propose UniST, a unified spatio-temporal multi-ta...
Long-Fei Zhang, Peng-Cheng Xia, Xiang Sun et al.· 2026 IEEE 22nd International...· 0 citations
As Fifth Generation (5G) networks evolve toward Sixth Generation (6G), base station energy consumption poses a critical challenge for sustainable wireless infrastructure, demanding intelligent and adaptive resource management strategies. Reinforcement learning (RL) offers a promising approach for such dynamic optimizat...
With the evolution toward sixth-generation (6G) wireless networks, energy efficiency has become a foundational design principle. This paper proposes Prompt Multi-Agent Decision Transformer (PMADT) for energy-efficient sleep mode control in heterogeneous cellular networks. Unlike existing multi-agent decision transforme...
Yuxuan Zhou, Peng-Cheng Xia, Yi-Yang Ni et al.· 2026 IEEE 22nd International...· 0 citations
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