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arXiv · 2101.10258

On the Performance of Image Recovery in Massive MIMO Communications

Phan Thi Kim Chinh·Trinh Van Chien·Tran Manh Hoang·Nguyen Tien Hoa·Van Duc Nguyen
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Abstract

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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Phan Thi Kim Chinh, Trinh Van Chien, Tran Manh Hoang, Nguyen Tien Hoa, Van Duc Nguyen. 2021-01-25. On the Performance of Image Recovery in Massive MIMO Communications. https://arxiv.org/abs/2101.10258

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