Effects of channel estimation errors on in-band full-duplex MIMO radios using adaptive transmit spatial mitigation

Daniel Bliss, Y. Rong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In-band (cochannel) full-duplex multiple-Input multiple-output (MIMO) radios employ independent transmit and receive antenna arrays to enable simultaneous transmission and reception. One of the most significant challenges is the mitigation of the radio's self-interference. While there are numerous issues, such as dynamic range, that limit the ability of the radio to mitigate the interference, in this paper effects associated with self-interference channel estimation are considered. In this paper, adaptive transmit processing is used to protect the radio's receive antenna array from self-interference. We develop bounds on post-mitigation self-interference residual to provide guidance on the amount of training required to effectively remove channel estimation as a limiting concern. To allow extending the system dynamic range beyond the dynamic range of the receiver, we consider using a training signal that is lower in transmit power than the data signal. As a specific example, the three-node relay problem is explored. Simulation results are presented to demonstrate the validity of the bound.

Original languageEnglish (US)
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages9-13
Number of pages5
ISBN (Print)9781479923908
DOIs
StatePublished - Jan 1 2013
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 3 2013Nov 6 2013

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/3/1311/6/13

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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