IRS Parameter Optimization for Channel Estimation MSE Minimization in Double-IRS Aided Systems

We consider the channel estimation problem in double intelligent reflecting surface (IRS)-aided single-user single-input-multiple-output systems. We focus on scenarios with less observations (training slots) {T} than number of IRS antennas {L} , exploiting channel spatial correlations. Unlike exi...

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Veröffentlicht in:	IEEE wireless communications letters 2022-10, Vol.11 (10), p.2170-2174
Hauptverfasser:	Bazzi, Samer, Xu, Wen
Format:	Artikel
Sprache:	eng
Schlagworte:	Channel estimation Correlation Covariance matrices Estimation Fourier transforms Intelligent reflecting surfaces (IRSs) IRS parameter optimization linear MMSE estimation Numerical models Optimization Parameters projected gradient descent Training
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