Data aided channel estimation for massive MIMO with pilot contamination

Meiyan Ju, Lu Xu, Lu Jin, David Huang

Research output: Chapter in Book/Conference paperConference paper

9 Citations (Scopus)

Abstract

This paper presents a modified MMSE channel estimation for turbo equalization in uplink massive multiple-input multiple-output (MIMO) systems with pilot contamination. Unlike other work on channel estimation in massive MIMO systems where perfect knowledge of inter-cell large scale channel coefficients is assumed, a modified method for data-aided MMSE estimation is proposed without requiring the knowledge of intra-cell large scale channel coefficients. Simulation results show that the proposed channel method outperforms the existing pilot-based channel estimators and has little performance loss compared to the existing data-aided estimator requiring the perfect knowledge of inter-cell large scale fading.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications
EditorsDavid Gesbert, Merouane Debbah, Abdelhamid Mellouk
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - 31 Jul 2017
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 21 May 201725 May 2017

Conference

Conference2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period21/05/1725/05/17

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