A low complexity channel estimation scheme for Massive MIMO systems

Afonso Ferreira; Guilherme Gaspar; Paulo Montezuma; Rui Dinis; Rodolfo Oliveira

doi:10.1109/IWCMC.2017.7986292

A low complexity channel estimation scheme for Massive MIMO systems

Afonso Ferreira, Guilherme Gaspar, Paulo Montezuma, Rui Dinis, Rodolfo Oliveira

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	234-239
Number of pages	6
ISBN (Electronic)	9781509043729
DOIs	https://doi.org/10.1109/IWCMC.2017.7986292
Publication status	Published - 19 Jul 2017
Event	13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Spain Duration: 26 Jun 2017 → 30 Jun 2017

Conference

Conference	13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Country/Territory	Spain
City	Valencia
Period	26/06/17 → 30/06/17

Keywords

Channel state information
Computational requirements
Massive MIMO
Zadoff-Chu sequences

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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). Article 7986292 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IWCMC.2017.7986292

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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., 7986292, Institute of Electrical and Electronics Engineers (IEEE), pp. 234-239, 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017, Valencia, Spain, 26/06/17. https://doi.org/10.1109/IWCMC.2017.7986292

A low complexity channel estimation scheme for Massive MIMO systems. / Ferreira, Afonso; Gaspar, Guilherme ; Montezuma, Paulo et al.
2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 234-239 7986292.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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A low complexity channel estimation scheme for Massive MIMO systems

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Keywords

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