Kalman Filter Based Channel Tracking for RIS-Assisted Multi-User Networks
Danyang Yu,
Gan Zheng,
Arman Shojaeifard
et al.
Abstract:In this paper, we investigate channel estimation in a reconfigurable intelligent surface (RIS) assisted multi-user network while considering the mobility of users. Based on a time-varying channel model, we utilize the Kalman filter (KF) that is able to exploit temporal correlation to track cascaded channels. In order to maintain a relatively low pilot overhead, we present a multiple sub-phases based transmission protocol where the number of pilot sequences in each sub-phase is less than the number of users, i.… Show more
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