2020/01/17 by Gilderlan T. de Araújo, de Araújo, Gilderlan T., André L. F. de Almeida +1 · 1 citation
Engineering · #Advanced Antenna and Metasurface Technologies #Advanced Wireless Communication Technologies #Antenna Design and Analysis #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2001.06554
openalex publication_date 2020/01/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Intelligent reflective surface (IRS) is an emergent technology for future\nwireless communications. It consists of a large 2D array of passive scattering\nelements that control the electromagnetic properties of radio-frequency waves\nso that the reflected signals add coherently at the intended receiver or\ndestructively to reduce co-channel interference. The promised gains of\nIRS-assisted communications depend on the accuracy of the channel state\ninformation. In this paper, we propose two novel channel estimation methods for\nan IRS-assisted multiple-input multiple-output (MIMO) communication system.\nAssuming a structured time-domain pattern of pilots and IRS phase shifts, we\nshow that the received signal follows a parallel factor (PARAFAC) tensor model\nthat can be exploited to estimate the involved communication channels in\nclosed-form or iteratively. Numerical results corroborate the effectiveness of\nthe proposed channel estimation methods and highlight the involved tradeoffs.\n