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2023
DOI: 10.1109/tvt.2023.3235980
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Matched-Decision AP Selection for User-Centric Cell-Free Massive MIMO Networks

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Cited by 12 publications
(12 citation statements)
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“…A two-layer APS algorithm with different strategies for fine-tuning was proposed in [19], either decreasing the number of UEs per AP, without decreasing the system SE or maintaining the energy efficiency (EE). In the first layer, each UE connects to an intermediate AP based on the LSF coefficient, preventing the signal from dropping, and in the second layer, each UE expands its cluster by connecting to more APs to increase the SE.…”
Section: A Literature Reviewmentioning
confidence: 99%
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“…A two-layer APS algorithm with different strategies for fine-tuning was proposed in [19], either decreasing the number of UEs per AP, without decreasing the system SE or maintaining the energy efficiency (EE). In the first layer, each UE connects to an intermediate AP based on the LSF coefficient, preventing the signal from dropping, and in the second layer, each UE expands its cluster by connecting to more APs to increase the SE.…”
Section: A Literature Reviewmentioning
confidence: 99%
“…The expression is applied to perform slow APS using a simple methodology that aims to increase each UE average SINR, which differs from of the fast APS proposed in [8], [10]- [12], to secure low backhaul capacity requirement. Furthermore, differently from the works that used the LSF to perform slow APS [13]- [19], the usage of the SINR for AP to UE assignment incorporates information about three different characteristics simultaneously: the interference, the noise, and the signal powers. Thus, the proposed APS may present an improved behavior for real scenarios.…”
Section: B Contributionsmentioning
confidence: 99%
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