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dc.contributor.authorShaboyan, Sergey
dc.contributor.authorBehbahani, Alireza S.
dc.contributor.authorEltawil, Ahmed
dc.date.accessioned2020-04-27T10:40:02Z
dc.date.available2020-04-27T10:40:02Z
dc.date.issued2020-03-31
dc.identifier.citationShaboyan, S., Behbahani, A. S., & Eltawil, A. M. (2019). Self-Interference Channel Characterization for Reconfigurable Antenna Based Systems. 2019 53rd Asilomar Conference on Signals, Systems, and Computers. doi:10.1109/ieeeconf44664.2019.9048850
dc.identifier.isbn9781728143002
dc.identifier.issn1058-6393
dc.identifier.doi10.1109/IEEECONF44664.2019.9048850
dc.identifier.urihttp://hdl.handle.net/10754/662657
dc.description.abstractThis paper presents experimental characterization of the self-interference (SI) channel for In-Band Full-Duplex (IBFD) communication systems that employ beam steering, Multi reconfigurable antennas (MRA), for passive SI suppression. First, we describe a system model of a full-duplex base station while highlighting channel impairments associated with each signal component. We present the SI channel power delay profiles measured by IBFD system operating on 5MHz, 10MHz and 20MHz bandwidths. We compare the measurements for beam patterns that result in line of sight suppression (and non-suppression) in both static and dynamic environments. We then statistically model the SI channel by performing probability distribution fitting to SI channel data, which is collected in dynamic environment, under high and low SI suppression conditions provided by MRA. Finally, candidate probability distribution models are compared using goodness of fit test.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9048850/
dc.rightsArchived with thanks to IEEE
dc.titleSelf-Interference Channel Characterization for Reconfigurable Antenna Based Systems
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.date2019-11-03 to 2019-11-06
dc.conference.name53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
dc.conference.locationPacific Grove, CA, USA
dc.eprint.versionPost-print
dc.contributor.institutionUniversity of California,Department of Electrical Engineering and Computer Science,Irvine,California,USA
dc.identifier.volume2019-November
dc.identifier.pages1154-1158
kaust.personEltawil, Ahmed Mohamed
dc.identifier.eid2-s2.0-85083318963
refterms.dateFOA2020-04-28T08:13:56Z


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