Full-duplex self-interference mitigation analysis for direct conversion RF nonlinear MIMO channel models with IQ mismatch

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

Abstract

In this paper, the self-interference mitigation performance of in-band full-duplex multiple-input multiple-output (MIMO) nodes is considered in the context of models for realistic hardware characteristics in which antennas are reused to transmit and receive simultaneously. The use of MIMO indicates a self-interference channel with spatially diverse inputs and outputs. Consequently, there are both MIMO channels for self interference and MIMO channels between the intended transmit array and receive array. Furthermore, physical transceivers suffer from nonlinearities and other nonidealities including IQ mismatch associated with direct conversion RF. Approaches to address self-interference mitigation under this model are presented and performances are detailed.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6543-6547
Number of pages5
ISBN (Electronic)9781509041176
DOIs
Publication statusPublished - Jun 16 2017
Event2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
Duration: Mar 5 2017Mar 9 2017

Other

Other2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
CountryUnited States
CityNew Orleans
Period3/5/173/9/17

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Keywords

  • Communications
  • Full-Duplex
  • IQ-Mismatch
  • MIMO
  • Nonlinearity
  • Wireless

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Bliss, D. (2017). Full-duplex self-interference mitigation analysis for direct conversion RF nonlinear MIMO channel models with IQ mismatch. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 6543-6547). [7953417] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2017.7953417