Joint channel and phase noise estimation for mmWave full-duplex communication systems

Abbas Koohian*, Hani Mehrpouyan, Ali A. Nasir, Salman Durrani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Full-duplex (FD) communication at millimeter-wave (mmWave) frequencies suffers from a strong self-interference (SI) signal, which can only be partially canceled using conventional RF cancelation techniques. This is because current digital SI cancellation techniques, designed for microwave frequencies, ignore the rapid phase noise (PN) variation at mmWave frequencies, which can lead to large estimation errors. In this work, we consider a multiple-input multiple-output mmWave FD communication system. We propose an extended Kalman filter-based estimation algorithm to track the rapid variation of PN at mmWave frequencies. We derive a lower bound for the estimation error of PN at mmWave and numerically show that the mean square error performance of the proposed estimator approaches the lower bound. We also simulate the bit error rate performance of the proposed system and show the effectiveness of a digital canceler, which uses the proposed estimator to estimate the SI channel. The results show that for a 2×2 FD system with 64−QAM modulation and PN variance of 10−4, the residual SI power can be reduced to − 25 dB and − 40 dB, respectively, for signal-to-interference ratio of 0 and 15 dB.

Original languageEnglish
Article number18
JournalEurasip Journal on Advances in Signal Processing
Volume2019
Issue number1
DOIs
StatePublished - 1 Dec 2019

Bibliographical note

Publisher Copyright:
© 2019, The Author(s).

Keywords

  • Full-duplex
  • Joint channel and PN estimation
  • Millimeter-wave
  • Residual self-interference power
  • Synchronization

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Hardware and Architecture

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