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Self-Interference Distribution over Full-Duplex Multi-User MIMO Channels

Shojaeifard, A; Wong, K-K; Di Renzo, M; Hamdi, KA; Tang, J; (2017) Self-Interference Distribution over Full-Duplex Multi-User MIMO Channels. In: Goldsmith, Andrea and Wilson, Sarah Kate, (eds.) Proceedings of 2017 IEEE Wireless Communications and Networking Conference (WCNC). IEEE: San Francisco, CA, USA. Green open access

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Abstract

We consider the case where a reference full-duplex (FD) node (e.g., base station), equipped with arbitrary number of transmit/receive antennas, utilizes generalized linear beamformers to simultaneously communicate with multiple FD radios (e.g., user equipments). The fading coefficients for the residual self-interference (SI) channels are drawn from the complex Gaussian distribution with arbitrary mean and variance. Here, it is not possible to directly derive the distribution of the bidirectional channel power gain. As a result, we adopt the method of moments in order to provide a new Gamma approximation for the residual SI distribution over FD multi-user MIMO Rician fading channels. The proposed theorem holds under arbitrary linear precoder/decoder design, number of antennas and streams, and SI cancellation capability. The validity of the theoretical findings is confirmed via extensive simulations of the entire transmit/receive processing chain.

Type: Proceedings paper
Title: Self-Interference Distribution over Full-Duplex Multi-User MIMO Channels
Event: IEEE Wireless Communications and Networking Conference (WCNC) - 2017
Location: San Francisco, CA
Dates: 19 March 2017 - 22 March 2017
ISBN-13: 978-1-5090-4183-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/WCNC.2017.7925697
Publisher version: https://doi.org/10.1109/WCNC.2017.7925697
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: Silicon, Fading channels, Rician channels, Radio frequency, Interference, Gaussian distribution
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/1560921
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