2021/03/15 by Samith Abeywickrama, Abeywickrama, Samith, Changsheng You +5 · 1 citation
Engineering · #Advanced Wireless Communication Technologies #Antenna Design and Analysis #FOS: Computer and information sciences #Information Theory (cs.IT) #Networking and Internet Architecture (cs.NI) #Underwater Vehicles and Communication Systems
paper · pdf · doi:10.48550/arxiv.2103.08836
openalex publication_date 2021/03/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Intelligent reflecting surface (IRS) is a promising technology to improve the\nperformance of backscatter communication systems by smartly reconfiguring the\nmulti-reflection channel. To fully exploit the passive beamforming gain of IRS\nin backscatter communication, channel state information (CSI) is indispensable\nbut more practically challenging to acquire than conventional IRS-assisted\nsystems, since IRS passively reflects signals over both the forward and\nbackward (backscattering) links between the reader and tag. To address this\nissue, we propose in this letter a new and efficient channel estimation scheme\nfor the IRS-assisted backscatter communication system. To minimize the\nmean-square error (MSE) of channel estimation, we formulate and solve an\noptimization problem by designing the IRS training reflection matrix for\nchannel estimation under the constraints of unit-modulus elements and full\nrank. Simulation results verify the effectiveness of the proposed channel\nestimation scheme as compared to other baseline schemes.\n