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On the Performance of Multiuser MIMO Systems Relying on Full-Duplex CSI Acquisition

Mirza, J; Zheng, G; Wong, KK; Lambotharan, S; Hanzo, L; (2018) On the Performance of Multiuser MIMO Systems Relying on Full-Duplex CSI Acquisition. IEEE Transactions on Communications , 66 (10) 4563 -4577. 10.1109/TCOMM.2018.2840694. Green open access

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Abstract

In this paper, we propose a combined full duplex (FD) and half duplex (HD) based transmission and channel acquisition model for open-loop multiuser multiple-input multipleoutput (MIMO) systems. Assuming residual self interference (SI) at the BS, the idea is to utilize the FD mode during the uplink (UL) training phase in order to achieve simultaneous downlink (DL) data transmission and UL CSI acquisition. More specifically, the BS begins serving a user when its CSI becomes available, while at the same time, it also receives UL pilots from the next scheduled user. We investigate both zero-forcing (ZF) and maximum ratio transmission (MRT) MIMO beamforming techniques for the DL data transmission in the FD mode. The BS switches to the HD mode once it receives the CSI of all users and it employs ZF beamforming for the DL data transmission until the end of the transmission frame. Furthermore, we derive closedform approximations for the lower bounded ergodic achievable rate relying on the proposed model. Our numerical results show that the proposed FD-HD transmission and channel acquisition approach outperforms its conventional HD counterpart and achieves higher data rates.

Type: Article
Title: On the Performance of Multiuser MIMO Systems Relying on Full-Duplex CSI Acquisition
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TCOMM.2018.2840694
Publisher version: https://doi.org/10.1109/TCOMM.2018.2840694
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: High definition video, Training, Array signal processing, MIMO communication, Data communication, Numerical models, Electronic mail
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/10051646
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