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.
@article{arxiv.2101.10258,
title = {On the Performance of Image Recovery in Massive MIMO Communications},
author = {Phan Thi Kim Chinh and Trinh Van Chien and Tran Manh Hoang and Nguyen Tien Hoa and Van Duc Nguyen},
journal= {arXiv preprint arXiv:2101.10258},
year = {2021}
}
Comments
6 pages, 2 figures. The paper was presented at ICCE 2020