Channel Estimation for Large Intelligent Surface-Based Transceiver Using a Parametric Channel Model

Abstract

Large intelligent surface-based transceivers (LISBTs), in which a spatially continuous surface is being used for signal transmission and reception, have emerged as a promising solution for improving the coverage and data rate of wireless communication systems. To realize these objectives, the acquisition of accurate channel state information (CSI) in LISBT-assisted wireless communication systems is crucial.In this paper, we propose a channel estimation scheme based on a parametric physical channel model for line-of-sight dominated communication in millimeter and terahertz wave bands. The proposed estimation scheme requires only five pilot signals to perfectly estimate the channel parameters assuming there is no noise at the receiver. In the presence of noise, we propose an iterative estimation algorithm that decreases the channel estimation error due to noise. The training overhead and computational cost of the proposed scheme do not scale with the number of antennas. The simulation results demonstrate that the proposed estimation scheme significantly outperforms other benchmark schemes.

Learning Optimal Phase-Shifts of Holographic Metasurface Transceivers

“…2. Now, if the phase-shift imposed by the (𝑚 𝑥 , 𝑚 𝑦 ) 𝑡 ℎ element, 𝛽 𝑚 𝑥 ,𝑚 𝑦 , is set to where 𝛽 1 and 𝛽 2 are the phase-shift parameters [13], [16], [17], which are the only degrees of freedom within the phase-shift 𝛽 𝑚 𝑥 𝑚 𝑦 , then the HMT-user channel in the far-field is approximated accurately by [13], [16], [17]…”

“…Hence, we consider the achieved data rate by the user, using the acquired CSI as a performance metric. We applied the proposed algorithm in two different cases when the distance between the user and the center of the HMT (𝑑 0 = 200 m and when 𝑑 0 = 10 m. We compared our proposed algorithm with two benchmarks, the proposed algorithm in [13] and the oracle scheme where 𝛼 1 and 𝛼 2 are estimated perfectly and thereby the maximum rate is achieved. In Fig.…”