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Sep 17, 2024 · In this paper, a solution based on deep learning is thus proposed to solve the user clustering problem aimed at maximizing the sum spectral efficiency.
This paper proposes a Deep Learning (DL) approach to perform AP-UE association with the objective of maximizing the network sum spectral efficiency.
In this paper, a solution based on deep learning is thus proposed to solve the user clustering problem aimed at maximizing the sum spectral efficiency while ...
A solution based on deep learning is proposed to solve the user clustering problem aimed at maximizing the sum spectral efficiency while controlling the ...
In this work, we propose a deep reinforcement learning (DRL) approach to user-centric clustering in which each user is served by only a subset of APs.
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This paper proposes a novel deep learning approach using LSTM networks to optimize user-centric clustering in cell-free massive MIMO systems, ...
To achieve the best performance in terms of accuracy and complexity of massive multiple-input multiple-output (Massive MIMO) in wireless communication systems, ...
For user centric approach, users are grouped into clusters using unsupervised ML algorithm k-means in order to improve achievable sum-rate. All the above ...
A deep reinforcement learning (DRL) approach to user-centric clustering in which each user is served by only a subset of APs, and the clusters are formed ...
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