  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.
