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  5. Wideband Self-Interference Cancellation for 5G Full-Duplex Radio Using a Near-Field Sensor Array
 
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Wideband Self-Interference Cancellation for 5G Full-Duplex Radio Using a Near-Field Sensor Array

Author(s)
Keogh, Brian  
Zhu, Anding  
Uri
http://hdl.handle.net/10197/10538
Date Issued
2018-08-31
Date Available
2019-05-20T12:35:00Z
Abstract
Self-interference cancellation (SIC) is an important consideration for 5G wireless transceiver architectures. If successfully implemented, SIC can double spectral efficiency by allowing for in-band full-duplex operation. The main challenge lies in effective cancellation of the interference that is caused by the transmit signal. This paper presents a wide-band digitally controlled, analogue SIC circuit block employing a spatially adjustable near-field vector sensor. A stochastic perturbation algorithm operating in spatial and frequency domains provides efficient optimisation when used in combination with the hardware configuration. The proposed technique provides 35 dB of radio frequency suppression across a channel bandwidth of 100 MHz centred at 2.1 GHz.
Sponsorship
European Commission - European Regional Development Fund
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Subjects

Self-interference can...

5G radio architecture...

Full-Duplex

RF FIR filter

SIC

SPSA

DOI
10.1109/IMWS-5G.2018.8484398
Web versions
http://imws-5g.mtt.org/
Language
English
Status of Item
Not peer reviewed
Journal
2018 IEEE MTT-S International Microwave Workshop Series on 5G Hardware and System Technologies (IMWS-5G)
Conference Details
2018 IEEE MTT-S International Microwave Workshop Series on 5G Hardware and System Technologies (IMWS-5G), University College Dublin, Ireland, 30-31 August 2018
ISBN
9781538611975
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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FullDuplex_IMWS.pdf

Size

4.04 MB

Format

Adobe PDF

Checksum (MD5)

a52da2c4565c3bd008192527af7ae82b

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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