On the Performance of Image Recovery in Massive MIMO Communications Article Swipe

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Phan Thi Kim Chinh , Trinh Van Chien , Tran Manh Hoang , Tiến Hoa Nguyễn , Văn Đức Nguyễn ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1109/icce48956.2021.9352117

Massive MIMO (Multiple Input Multiple Output) has demonstrated as a potential candidate for 5G-and-beyond wireless networks. Instead of using Gaussian signals as most of the previous works, this paper makes a novel contribution by investigating the transmission quality of image data by utilizing the Massive MIMO technology. We first construct a framework to decode the image signal from the noisy received data in the uplink Massive MIMO transmission by utilizing the alternating direction method of multipliers (ADMM) approach. Then, a low-pass filter is exploited to enhance the efficiency of the remaining noise and artifacts reduction in the recovered image. Numerical results demonstrate the necessity of a post-filtering process in enhancing the quality of image recovery.

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Artificial Intelligence

Electronic Engineering

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MIMO Computer science Transmission (telecommunications) Image quality Image (mathematics) Telecommunications link Filter (signal processing) Noise (video) Noise reduction Computer vision Process (computing) Reduction (mathematics) 3G MIMO Artificial intelligence Electronic engineering Computer engineering Telecommunications Mathematics Engineering Channel (broadcasting) Geometry Operating system

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1109/icce48956.2021.9352117
OA Status: green
References: 14
Related Works: 20
OpenAlex ID: https://openalex.org/W3121506618

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DOI: https://doi.org/10.1109/icce48956.2021.9352117

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Title: On the Performance of Image Recovery in Massive MIMO Communications

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-01-13

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Authors: Phan Thi Kim Chinh, Trinh Van Chien, Tran Manh Hoang, Tiến Hoa Nguyễn, Văn Đức Nguyễn

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Landing page: https://doi.org/10.1109/icce48956.2021.9352117

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OA status: green

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OA URL: https://arxiv.org/pdf/2101.10258

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Concepts: MIMO, Computer science, Transmission (telecommunications), Image quality, Image (mathematics), Telecommunications link, Filter (signal processing), Noise (video), Noise reduction, Computer vision, Process (computing), Reduction (mathematics), 3G MIMO, Artificial intelligence, Electronic engineering, Computer engineering, Telecommunications, Mathematics, Engineering, Channel (broadcasting), Geometry, Operating system

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Cited by: 0

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References (count): 14

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