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Title: | Channel estimation for intelligent reflecting surface assisted multiuser communications | Authors: | Wang, Z Liu, L Cui, S |
Issue Date: | 2020 | Source: | In Proceedings of 2020 IEEE Wireless Communications and Networking Conference (WCNC), 25-28 May 2020, Seoul, Korea (South) | Abstract: | In the intelligent reflecting surface (IRS) assisted communication systems, the acquisition of channel state information (CSI) is a crucial impediment for achieving the passive beamforming gain of IRS because of the considerable overhead required for channel estimation. Specifically, under the current beamforming design for IRS-assisted communications, KMN + KM channel coefficients should be estimated if the passive IRS cannot estimate its channels with the base station (BS) and users due to its lack of radio frequency (RF) chains, where K, N and M denote the numbers of users, reflecting elements of the IRS, and antennas at the BS, respectively. These numbers can be extremely large in practice considering the current trend of massive MIMO (multiple-input multiple-output), i.e., a large M, and massive connectivity, i.e., a large K. To accurately estimate such a large number of channel coefficients within a short time interval, we devote our endeavour in this paper to investigating the efficient pilot-based channel estimation method in IRS-assisted uplink communications. Building upon the observation that each IRS element reflects the signals from all the users to the BS via the same channel, we analytically verify that a time duration consisting of K+N+max(K−1,⌈(K−1)NM⌉) pilot symbols is sufficient for the BS to perfectly recover all the KMN+KM channel coefficients for the case without receiver noise. In contrast to the conventional uplink communications without IRS in which the minimum pilot sequence length is independent with the number of receive antennas, our study reveals the significant role of massive MIMO in reducing the channel training time for IRS-assisted communications. | Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-7281-3106-1 (Electronic) 978-1-7281-3107-8 (Print on Demand(PoD)) |
DOI: | 10.1109/WCNC45663.2020.9120452 | Description: | 2020 IEEE Wireless Communications and Networking Conference (WCNC), 25-28 May 2020, Seoul, Korea (South) | Rights: | ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Z. Wang, L. Liu and S. Cui, "Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications," 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020 is available at https://doi.org/10.1109/WCNC45663.2020.9120452. |
Appears in Collections: | Conference Paper |
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