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Deep Reinforcement Learning for Distributed Dynamic Coordinated ...


Deep Reinforcement Learning for Distributed Dynamic Coordinated ...

We propose a deep reinforcement learning based distributed dynamic coordinated beamforming (DDCBF) framework, which enables each BS to determine the ...

Deep Reinforcement Learning for Distributed Dynamic Coordinated ...

We propose a deep reinforcement learning-based distributed dynamic coordinated beamforming (DDCBF) scheme, which enables each BS to determine the beamformers ...

Deep Reinforcement Learning for Distributed Dynamic MISO ...

In this study, we exploit deep reinforcement learning (DRL) and propose a distributed dynamic downlink-beamforming coordination (DDBC) method with partial ...

Deep Reinforcement Learning for Distributed Dynamic Coordinated ...

In massive MIMO cellular networks, coordinated beamforming (CBF), which jointly designs the beamformers of multiple base stations (BSs), is an ...

Deep Reinforcement Learning for Distributed Dynamic Coordinated ...

Request PDF | Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks | To accommodate ...

JungangGe/DRL_for_DDBC: Simulation codes for the ... - GitHub

Simulation codes for the manuscript "Deep Reinforcement Learning for Distributed Dynamic MISO Downlink-Beamforming Coordination" submitted to IEEE ...

Deep Reinforcement Learning for Distributed Uncoordinated ... - arXiv

... dynamic spectrum access (DSA) with a primary network. ... The resource allocation technique presented in this work is distributed, not requiring ...

Deep Reinforcement Learning for Distributed Coordinated ...

Request PDF | On Sep 5, 2023, Jungang Ge and others published Deep Reinforcement Learning for Distributed Coordinated Beamforming in Massive MIMO | Find, ...

Deep Reinforcement Learning for Distributed Dynamic Coordinated ...

Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular https://ifoxprojects.com/ IEEE PROJECTS ...

Distributed deep reinforcement learning-based coordination ...

Distributed deep reinforcement learning-based coordination performance optimization method for proton exchange membrane fuel cell system. Author links open ...

Deep Multi-User Reinforcement Learning for Distributed Dynamic ...

utility in a distributed manner without online coordination or message exchanges between users. We consider the problem of dynamic spectrum access for ...

Deep‐reinforcement learning for fair distributed dynamic spectrum ...

... coordinate with each other before transmission, a scheme based on reinforcement learning is proposed in which the network state is estimated ...

A deep reinforcement learning based distributed multi-UAV dynamic ...

In this paper, we propose a distributed dynamic area coverage algorithm based on a reinforcement learning (RL) algorithm to enhance the coverage efficiency in ...

Deep Multi-User Reinforcement Learning for Distributed Dynamic ...

We consider the problem of dynamic spectrum access for network utility maximization in multichannel wireless networks. The shared bandwidth is divided into ...

Distributed Online Service Coordination Using Deep Reinforcement ...

Distributed Online Service Coordination Using Deep Reinforcement Learning - RealVNF/distributed-drl-coordination.

Deep Reinforcement Learning for Distributed Dynamic Power ...

Deep Reinforcement Learning for Distributed Dynamic Power Allocation in Wireless Networks · Topics · 43 Citations · 33 References · Related Papers ...

GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated ...

GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments ... Deeppool: Distributed model-free algorithm for ...

Distributed Online Service Coordination Using Deep Reinforcement ...

After centralized training, we deploy a distributed DRL agent at each node in the network, making fast coordination decisions locally in parallel with the other ...

Coordinated Multi-Agent Deep Reinforcement Learning for Energy ...

... dynamic energy sharing traders, using deep learning ... ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture.

Dynamic spectrum access and sharing through actor-critic deep ...

... deep reinforcement learning under certain coordination. ... deep reinforcement learning for distributed dynamic spectrum access of multiple users.