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pro vyhledávání: '"Koblitz, Ryo"'
Several Radio Resource Management (RRM) use cases can be framed as sequential decision planning problems, where an agent (the base station, typically) makes decisions that influence the network utility and state. While Reinforcement Learning (RL) in
Externí odkaz:
http://arxiv.org/abs/2405.19045
The standard beam management procedure in 5G requires the user equipment (UE) to periodically measure the received signal reference power (RSRP) on each of a set of beams proposed by the basestation (BS). It is prohibitively expensive to measure the
Externí odkaz:
http://arxiv.org/abs/2303.17301
Autor:
Maggi, Lorenzo, Mihailescu, Claudiu, Cao, Qike, Tetich, Alan, Khan, Saad, Aaltonen, Simo, Koblitz, Ryo, Holma, Maunu, Macchi, Samuele, Ruggieri, Maria Elena, Korenev, Igor, Klausen, Bjarne
By shutting down frequency carriers, the power consumed by a base station can be considerably reduced. However, this typically comes with traffic performance degradation, as the congestion on the remaining active carriers is increased. We leverage a
Externí odkaz:
http://arxiv.org/abs/2302.01093