Alternating Minimization for the Downlink of Wideband IRS-Aided mmWave MIMO Systems
Konferenz: WSA & SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding
27.02.2023–03.03.2023 in Braunschweig, Germany
Tagungsband: ITG-Fb. 308: WSA & SCC 2023
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Perez-Adan, Darian; Fresnedo, Oscar; Castedo, Luis (Department of Computer Engineering & CITIC Research Center, University of A Coru˜na, Spain)
Joham, Michael; Utschick, Wolfgang (Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany)
Gonzalez-Coma, Jose P. (Defense University Center at the Spanish Naval Academy, University of Vigo, Marin, Spain)
Inhalt:
We consider an orthogonal frequency division multiplexing (OFDM) intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) multiple-input multipleoutput (MIMO) broadcast (BC) system. The IRS phase-shift matrix, the filters, and the precoders are jointly designed to minimize the mean square error (MSE) of the estimated user symbols. This is challenging because the IRS phase-shift matrix is frequency-flat and common to all the users. The optimization problem is solved via the BC-multiple access channel (MAC) duality and following an alternating minimization approach. The results show that the proposed approach leads to large gains with respect to baseline strategies that do not account for the inter-user interference.