A low complexity channel estimation scheme for Massive MIMO systems

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

Abstract

It is well-known that Massive MIMO systems (Multiple-input multiple-output) have high potential for future wireless broadband systems. Massive MIMO (m-MIMO) relies on spatial multiplexing, and for that reason the base station needs a precise channel knowledge at uplink and downlink. Pilots can be used for channel state information (CSI) estimation, but common estimation processes imply a matrix inversion which can be a heavy computational process for m-MIMO system where the number of antennas used in the communication is very high. To alleviate computational requirements, reduce latency and to improve battery life capacity of mobile devices matrix inversion operations should be avoided. Having in mind these constrains, a new channel estimation method based on Zadoff-Chu (ZC) sequences is presented here, that achieves similar or better performance than least squares (LS) or minimum mean-Square Error (MMSE) channel estimators. It is also presented a set of performance results that sustain our assumption.

Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages234-239
Number of pages6
ISBN (Electronic)9781509043729
DOIs
Publication statusPublished - 19 Jul 2017
Event13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Spain
Duration: 26 Jun 201730 Jun 2017

Conference

Conference13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
CountrySpain
CityValencia
Period26/06/1730/06/17

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Keywords

  • Channel state information
  • Computational requirements
  • Massive MIMO
  • Zadoff-Chu sequences

Cite this

Ferreira, A., Gaspar, G., Montezuma, P., Dinis, R., & Oliveira, R. (2017). A low complexity channel estimation scheme for Massive MIMO systems. In 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017 (pp. 234-239). [7986292] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC.2017.7986292