2023
DOI: 10.1186/s13638-023-02282-z
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Performance prediction and enhancement of 5G networks based on linear regression machine learning

Mina Malekzadeh

Abstract: The feature-rich nature of 5G introduces complexities that make its performance highly conditional and dependent on a broad range of key factors, each with unique values and characteristics that further complicate 5G deployments. To address the complexities, this work develops a new modular model based on machine learning on both architecture and service factors (5GPA) that actively contribute to variations in 5G network performance. The objectives are to address the complications during the design and plannin… Show more

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Cited by 11 publications
(2 citation statements)
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“…This concerted effort is geared towards addressing the dynamic nature of speed requirements within an everexpanding technological landscape. Evaluating 5G network performance in these diverse contexts remains paramount to unlocking its full capabilities and ensuring ubiquitous connectivity [6].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This concerted effort is geared towards addressing the dynamic nature of speed requirements within an everexpanding technological landscape. Evaluating 5G network performance in these diverse contexts remains paramount to unlocking its full capabilities and ensuring ubiquitous connectivity [6].…”
Section: Introductionmentioning
confidence: 99%
“…This rapid response is crucial for enabling real-time applications like autonomous vehicles, remote surgery, and immersive virtual reality experiences. Especially in urban and suburban environments where real-time communication is increasingly prevalent, 5G's ultra-fast response will be key [6].…”
Section: Introductionmentioning
confidence: 99%