Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimizing Throughput Performance in Distributed MIMO Wi-Fi Networks
  using Deep Reinforcement Learning   This paper explores the feasibility of leveraging concepts from deep
reinforcement learning (DRL) to enable dynamic resource management in Wi-Fi
networks implementing distributed multi-user MIMO (D-MIMO). D-MIMO is a
technique by which a set of wireless access points are synchronized and grouped
together to jointly serve multiple users simultaneously. This paper addresses
two dynamic resource management problems pertaining to D-MIMO Wi-Fi networks:
(i) channel assignment of D-MIMO groups, and (ii) deciding how to cluster
access points to form D-MIMO groups, in order to maximize user throughput
performance. These problems are known to be NP-Hard and only heuristic
solutions exist in literature. We construct a DRL framework through which a
learning agent interacts with a D-MIMO Wi-Fi network, learns about the network
environment, and is successful in converging to policies which address the
aforementioned problems. Through extensive simulations and on-line training
based on D-MIMO Wi-Fi networks, this paper demonstrates the efficacy of DRL in
achieving an improvement of 20% in user throughput performance compared to
heuristic solutions, particularly when network conditions are dynamic. This
work also showcases the effectiveness of DRL in meeting multiple network
objectives simultaneously, for instance, maximizing throughput of users as well
as fairness of throughput among them.

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The categories of this paper are: nucl-th
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The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
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The categories of this paper are: plasm-ph
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The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
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The categories of this paper are: eess
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The categories of this paper are: math-ph
3
The categories of this paper are: physics
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The categories of this paper are: patt-sol
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The categories of this paper are: astro-ph
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The categories of this paper are: econ
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The categories of this paper are: cond-mat
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The categories of this paper are: nucl-ex
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-bio