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Efficient downlink channel reconstruction for FDD transmission systems

Han, Y; Hsu, T-H; Wen, C-K; Wong, K-K; Jin, S; (2018) Efficient downlink channel reconstruction for FDD transmission systems. In: Proceedings of the 27th Wireless and Optical Communication Conference (WOCC 2018). IEEE Green open access

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Abstract

In this paper, a novel scheme is proposed to reconstruct downlink channel for frequency-division-duplex (FDD) systems from uplink channel state information (CSI) with limited feedback. We adopt the Newtonized orthogonal matching pursuit (NOMP) algorithm to estimate the frequency-independent parameters of the delays of a multi-path channel through uplink training. The gain of each path is further refined through downlink training using least squares (LS) algorithm and sent back to the base station (BS). Using the uplink-estimated delays and the downlink-refined gains, the BS reconstructs the downlink multipath channel. Simulations and over-the-air tests are conducted to examine the performance of the proposed NOMP-LS-based reconstruction scheme for the downlink channel. Results confirm the effectiveness of the NOMP-LS scheme and that the reconstructed channel is accurate.

Type: Proceedings paper
Title: Efficient downlink channel reconstruction for FDD transmission systems
Event: 27th Wireless and Optical Communication Conference (WOCC), 30 April-1 May 2018, Hualien, Taiwan
Location: Hualien, Taiwan
Dates: 30 April-1 May 2018
ISBN-13: 978-1-5386-4959-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/WOCC.2018.8372727
Publisher version: https://doi.org/10.1109/WOCC.2018.8372727
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Downlink, Uplink, Delays, Training, OFDM, Channel estimation, Estimation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10055173
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