… CSI overhead versus limited feedback bandwith. By considering the noisy CSI due to imperfect
channel estimation… , namely AnciNet, to conduct the CSI feedback with limited bandwidth. …

… Fan, GY Li, and GK Karagiannidis, “Ancinet: An efficient deep learning approach for feedback
compression of estimated CSI in massive MIMO systems,” IEEE Wirel. Commun. Lett., vol. …

… of the channel gain matrix to reduce the significant CSI feedback … CSI compression techniques,
providing drastic improvements in CSI estimation quality at even extremely low feedback …

… that the perfect channel estimation in this paper and the perfect CSI can be acquired…
compressed sensing attention recovery model have been proposed for Massive MIMO CSI feedback …

… user needs to compress and feedback its downlink CSI to the BS. The CSI overhead scales
… More specifically, this is the first work on MIMO CSI compression that uses an estimate of …

… compress the CSI. In this stage, we only need to generate a Gaussian random matrix to
compress the initial CSI … Furthermore, we present the precoding performance of the estimated CSI…

… to estimate the link capacity change due to CSI compression … by compressing the CSI over
time, ie, increasing the feedback … CSI feedback overhead is only 0.096 with an 8ms feedback …

… Similar to [6], [7], we assume the DL-CSI has been estimated at users and mainly focus
on CSI feedback1. After the processing of matched-filter (MF) (ie, the conventional multiuser …

… estimation and feedback compression is applied by the mobile station (MS) and the compressed
CSI … how the CSI feedback can be adaptively quantized and compressed into a data …

… receivers need to estimate the downlink CSI from the reference … However, the CSI feedback
overhead is restricted due to the … We assume that the UE feeds the compressed CSI Hc back …