Sep 28, 2020 · In multi-user downlink small cell networks, cooperative resource allocation (RA) within a small cell cluster is a key technique to enhance ...
Nov 12, 2020 · 1) RA and PC With Conventional Optimization: Recently, there have been various studies on small cell networks with limited information exchange.
In multi-user downlink small cell networks, cooperative resource allocation (RA) within a small cell cluster is a key technique to enhance network capacity.
A deep reinforcement learning-based RA algorithm to maximize the sum- rate for any given limited information on instantaneous CSI or sum-rate at the ...
In this paper, a DRL based resource allocation method is proposed with remote radio head grouping and vehicle clustering to maximize system energy efficiency.
We focus on investigating the joint optimization problem of mode selection and channel allocation in D2D-enabled HCNs with mm-wave and cellular bands.
This paper proposes a resource allocation scheme for hybrid multiple access involving both orthogonal multiple access and non-orthogonal multiple access (NOMA) ...
People also ask
What is deep reinforcement learning used for?
Can deep reinforcement learning improve inventory management performance and implementation of dual sourcing mode problems?
In this paper, a resource allocation (RA) scheme based on deep reinforcement learning (DRL) is designed for device-to-device (D2D) communications underlay ...
Missing: Exchange. | Show results with:Exchange.
May 16, 2018 · Abstract—In this paper, we develop a decentralized resource al- location mechanism for vehicle-to-vehicle (V2V) communications based on deep ...
In [16], a decentralised resource allocation scheme based on deep reinforcement learning is proposed to allocate appropriate channel resources to each D2D pair.