In this work, power allocation is modeled as a Markov Decision Process and the dense HetNet is modeled as a multi-agent network in which each base station is ...
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In this paper, a power allocation scheme based on deep Q-. Network (DQN) with padding is proposed, which can maximize system's sum-rate under dynamically ...
In this work, power allocation is modeled as a Markov Decision Process and the dense HetNet is modeled as a multi-agent network in which each base station is ...
The authors in [20] study efficient power allocation in HetNets and propose a DRL-based power allocation algorithm. The work [21] considers end-to-end network ...
Dec 7, 2020 · In this paper, a power allocation scheme based on deep QNetwork (DQN) with padding is proposed, which can maximize system’s sum-rate ...
83 Citations · A Power Allocation Scheme Based on Deep Reinforcement Learning in HetNets · Global Q-Learning Approach for Power Allocation in Femtocell Networks.
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May 1, 2020 · The joint optimization problem of user association and power control in orthogonal frequency division multiple access (OFDMA) based uplink HetNets is studied.
Amiri et al. [4] suggested applying cooperative Q-learning for the power allocation of the dense network, to maximize the capacity of the network while ...
In this paper, a distributively executed dynamic power allocation scheme is developed based on model-free deep reinforcement learning. Each transmitter ...