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eess.SP2026
Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target
Zhilin Fu, Sangmin Kim, Sangwon Hwang +4
In this paper, we study the power allocation for an integrated sensing and communication (ISAC) system which tracks a mobile target. We first model the problem as a Markov decision…
eess.SP2019
Online Reinforcement Learning of X-Haul Content Delivery Mode in Fog Radio Access Networks
Jihwan Moon, Osvaldo Simeone, Seok-Hwan Park +1
We consider a Fog Radio Access Network (F-RAN) with a Base Band Unit (BBU) in the cloud and multiple cache-enabled enhanced Remote Radio Heads (eRRHs). The system aims at deliverin…