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.
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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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