Feature-oriented channel estimation in reconfigurable intelligent surface-assisted wireless communication systems

Junliang Lin, Gongpu Wang, Rongfei Fan, Yulong Zou, Theodoros A. Tsiftsis, Chintha Tellambura

Research output: Contribution to journalArticlepeer-review

Abstract

In this6study, the channel estimation problem is investigated for a wireless communication system assisted by a reconfigurable intelligent surface (RIS). The RIS thus creates an assistant channel, which has the features of positivity and dominance. Owing to these features, the channel estimation problem is formulated as a constrained residual sum of squares minimisation problem, which differs radically from the traditional channel estimation issue. An efficient Lagrange multiplier and dual ascent-based estimation scheme is then designed to obtain an iterative solution for the estimator. Moreover, the Cramér-Rao lower bounds are deduced as a performance benchmark. Simulation results show that the authors' designed scheme improves the estimation accuracy up to 33%, compared with the conventional least-square method in the low signal-to-noise ratio regime.

Original languageEnglish
Pages (from-to)3458-3463
Number of pages6
JournalIET Communications
Volume14
Issue number19
DOIs
Publication statusPublished - Dec 1 2020

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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