FDD-Based Cell-Free Massive MIMO Systems

Seungnyun Kim; Byonghyo Shim

doi:10.1109/SPAWC.2018.8446023

FDD-Based Cell-Free Massive MIMO Systems

Seungnyun Kim, Byonghyo Shim

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

3 Citations (Scopus)

Abstract

Cell-free massive MIMO system is a promising technology of 5G wireless communications that provide a user-centric coverage to the user by the basestation cooperation. Most prior works on the cell-free massive MIMO systems assume the time division duplexing (TDD) systems, although the frequency division duplexing (FDD) systems dominate the current wireless communications. In the FDD systems, CSI acquisition and feedback overhead are serious concerns when the number of antennas is large. To address these problems, we use the property that the uplink and downlink multipath components are similar, so-called angle reciprocity. By exploiting the angle reciprocity, basestation can directly acquire multipath component information from the uplink pilot signal. In this paper, we propose multipath component estimation technique and basestation cooperation scheme based on the multipath components for the FDD-based cell-free massive MIMO systems. Simulation results show that the proposed multipath component estimation technique outperforms the conventional subspace-based technique. Also, we show that the FDD-based cell-free massive MIMO systems substantially improve energy efficiency over the cellular systems.

Original language	English
Title of host publication	2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538635124
DOIs	https://doi.org/10.1109/SPAWC.2018.8446023
Publication status	Published - 2018 Aug 24
Externally published	Yes
Event	19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 - Kalamata, Greece Duration: 2018 Jun 25 → 2018 Jun 28

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume	2018-June

Other

Other	19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018
Country	Greece
City	Kalamata
Period	18/6/25 → 18/6/28

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Information Systems

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1109/SPAWC.2018.8446023

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Kim, S., & Shim, B. (2018). FDD-Based Cell-Free Massive MIMO Systems. In 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018 [8446023] (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2018.8446023

FDD-Based Cell-Free Massive MIMO Systems. / Kim, Seungnyun; Shim, Byonghyo.

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8446023 (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; Vol. 2018-June).

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

Kim, S & Shim, B 2018, FDD-Based Cell-Free Massive MIMO Systems. in 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018., 8446023, IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, vol. 2018-June, Institute of Electrical and Electronics Engineers Inc., 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018, Kalamata, Greece, 18/6/25. https://doi.org/10.1109/SPAWC.2018.8446023

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N2 - Cell-free massive MIMO system is a promising technology of 5G wireless communications that provide a user-centric coverage to the user by the basestation cooperation. Most prior works on the cell-free massive MIMO systems assume the time division duplexing (TDD) systems, although the frequency division duplexing (FDD) systems dominate the current wireless communications. In the FDD systems, CSI acquisition and feedback overhead are serious concerns when the number of antennas is large. To address these problems, we use the property that the uplink and downlink multipath components are similar, so-called angle reciprocity. By exploiting the angle reciprocity, basestation can directly acquire multipath component information from the uplink pilot signal. In this paper, we propose multipath component estimation technique and basestation cooperation scheme based on the multipath components for the FDD-based cell-free massive MIMO systems. Simulation results show that the proposed multipath component estimation technique outperforms the conventional subspace-based technique. Also, we show that the FDD-based cell-free massive MIMO systems substantially improve energy efficiency over the cellular systems.

AB - Cell-free massive MIMO system is a promising technology of 5G wireless communications that provide a user-centric coverage to the user by the basestation cooperation. Most prior works on the cell-free massive MIMO systems assume the time division duplexing (TDD) systems, although the frequency division duplexing (FDD) systems dominate the current wireless communications. In the FDD systems, CSI acquisition and feedback overhead are serious concerns when the number of antennas is large. To address these problems, we use the property that the uplink and downlink multipath components are similar, so-called angle reciprocity. By exploiting the angle reciprocity, basestation can directly acquire multipath component information from the uplink pilot signal. In this paper, we propose multipath component estimation technique and basestation cooperation scheme based on the multipath components for the FDD-based cell-free massive MIMO systems. Simulation results show that the proposed multipath component estimation technique outperforms the conventional subspace-based technique. Also, we show that the FDD-based cell-free massive MIMO systems substantially improve energy efficiency over the cellular systems.

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FDD-Based Cell-Free Massive MIMO Systems

Abstract

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ASJC Scopus subject areas

UN SDGs

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