{"status":"public","author":[{"first_name":"Marvin","last_name":"Illian","full_name":"Illian, Marvin"},{"last_name":"Khalili","full_name":"Khalili, Ramin","first_name":"Ramin"},{"last_name":"Rocha","full_name":"Rocha, Antonio A. de A.","first_name":"Antonio A. de A."},{"last_name":"Wang","full_name":"Wang, Lin","first_name":"Lin"}],"abstract":[{"text":"The widespread deployment of 5G networks, together with the coexistence of 4G/LTE networks, provides mobile devices a diverse set of candidate cells to connect to. However, associating mobile devices to cells to maximize overall network performance, a.k.a. cell (re)selection, remains a key challenge for mobile operators. Today, cell (re)selection parameters are typically configured manually based on operator experience and rarely adapted to dynamic network conditions. In this work, we ask: Can an agent automatically learn and adapt cell (re)selection parameters to consistently improve network performance? We present a reinforcement learning (RL)-based framework called CellPilot that adaptively tunes cell (re)selection parameters by learning spatiotemporal patterns of mobile network dynamics. Our study with real-world data demonstrates that even a lightweight RL agent can outperform conventional heuristic reconfigurations by up to 167%, while generalizing effectively across different network scenarios. These results indicate that data-driven approaches can significantly improve cell (re)selection configurations and enhance mobile network performance.","lang":"eng"}],"date_updated":"2026-01-08T07:58:52Z","date_created":"2026-01-08T07:58:22Z","type":"preprint","_id":"63530","citation":{"bibtex":"@article{Illian_Khalili_Rocha_Wang_2026, title={Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning}, journal={arXiv:2601.04083}, author={Illian, Marvin and Khalili, Ramin and Rocha, Antonio A. de A. and Wang, Lin}, year={2026} }","mla":"Illian, Marvin, et al. “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning.” <i>ArXiv:2601.04083</i>, 2026.","ieee":"M. Illian, R. Khalili, A. A. de A. Rocha, and L. Wang, “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning,” <i>arXiv:2601.04083</i>. 2026.","ama":"Illian M, Khalili R, Rocha AA de A, Wang L. Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning. <i>arXiv:260104083</i>. Published online 2026.","apa":"Illian, M., Khalili, R., Rocha, A. A. de A., &#38; Wang, L. (2026). Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning. In <i>arXiv:2601.04083</i>.","chicago":"Illian, Marvin, Ramin Khalili, Antonio A. de A. Rocha, and Lin Wang. “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning.” <i>ArXiv:2601.04083</i>, 2026.","short":"M. Illian, R. Khalili, A.A. de A. Rocha, L. Wang, ArXiv:2601.04083 (2026)."},"title":"Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning","year":"2026","external_id":{"arxiv":["2601.04083"]},"publication":"arXiv:2601.04083","user_id":"44169"}