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Optimization of Uplink CSI Training for Full-Duplex Multiuser MIMO Systems

Mirza, J; Zheng, G; Saleem, S; Wong, K-K; (2019) Optimization of Uplink CSI Training for Full-Duplex Multiuser MIMO Systems. IEEE Communications Letters , 23 (12) pp. 2325-2329. 10.1109/LCOMM.2019.2947677. Green open access

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Abstract

In this letter, we investigate the optimization of uplink (UL) channel state information (CSI) training in the full-duplex (FD) based multiuser (MU) multiple-input multiple-output (MIMO) systems. Here, an FD-assisted BS performs simultaneous UL CSI training and downlink data transmission that produces self interference (SI). Following the UL training stage, the BS uses the conventional half-duplex (HD) MU MIMO transmission with zero-forcing precoding. To find an optimal UL CSI training length that achieves a balance between the training overhead and CSI quality, we formulate an optimization problem that maximizes the sum spectral efficiency of the network. To ease the analysis, we derive a lower bound on the user rate in the FD phase, which is then used together with the HD user rate to obtain the sub-optimal solution. We also provide a closed-form expression to approximate the UL training length. Numerical results show that the performance of the proposed UL training outperforms the fixed length training and it closely matches the performance with an exhaustive search.

Type: Article
Title: Optimization of Uplink CSI Training for Full-Duplex Multiuser MIMO Systems
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LCOMM.2019.2947677
Publisher version: https://doi.org/10.1109/LCOMM.2019.2947677
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: Science & Technology, Technology, Telecommunications, Training, MIMO communication, Precoding, Data communication, Coherence, Optimization, Transmitting antennas, precoding, WIRELESS
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/10088987
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