Multiuser CQI prediction based on quantization error feedback for massive MIMO systems

Taehyoung Kim; Kyungsik Min; Sooyong Choi

doi:10.1109/ICCNC.2015.7069290

Multiuser CQI prediction based on quantization error feedback for massive MIMO systems

Taehyoung Kim, Kyungsik Min, Sooyong Choi

Department of Electrical and Electronic Engineering

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

2 Citations (Scopus)

Abstract

In this paper, multiuser channel quality indicator (MU-CQI) prediction based on channel quantization error feedback is proposed for massive multiple-input multiple-output (MIMO) systems. Basically, CQI reporting in the practical systems is performed based on the single user (SU) MIMO transmission mode to keep low feedback overhead and computational complexity. To operate in MU-MIMO transmission mode, the base station needs to predict the MU-CQI from the reported SU-CQI. The conventional CQI update method is based on the worst-case approach to minimize the outage probability. However, this is not efficient way for the massive MIMO systems, since there is a lot of capacity loss when the number of served users is large. To improve the accuracy of prediction, we propose MU-CQI prediction method based on channel quantization error feedback. Although the proposed scheme requires few feedback overhead like only 1bit, it shows remarkable performance gain compared to the conventional prediction scheme in terms of system goodput.

Original language	English
Title of host publication	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	32-36
Number of pages	5
ISBN (Electronic)	9781479969593
DOIs	https://doi.org/10.1109/ICCNC.2015.7069290
Publication status	Published - 2015 Mar 26
Event	2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States Duration: 2015 Feb 16 → 2015 Feb 19

Publication series

Name	2015 International Conference on Computing, Networking and Communications, ICNC 2015

Other

Other	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Country/Territory	United States
City	Garden Grove
Period	15/2/16 → 15/2/19

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/ICCNC.2015.7069290

Cite this

Kim, T., Min, K., & Choi, S. (2015). Multiuser CQI prediction based on quantization error feedback for massive MIMO systems. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015 (pp. 32-36). [7069290] (2015 International Conference on Computing, Networking and Communications, ICNC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2015.7069290

Kim, Taehyoung ; Min, Kyungsik ; Choi, Sooyong. / Multiuser CQI prediction based on quantization error feedback for massive MIMO systems. 2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 32-36 (2015 International Conference on Computing, Networking and Communications, ICNC 2015).

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abstract = "In this paper, multiuser channel quality indicator (MU-CQI) prediction based on channel quantization error feedback is proposed for massive multiple-input multiple-output (MIMO) systems. Basically, CQI reporting in the practical systems is performed based on the single user (SU) MIMO transmission mode to keep low feedback overhead and computational complexity. To operate in MU-MIMO transmission mode, the base station needs to predict the MU-CQI from the reported SU-CQI. The conventional CQI update method is based on the worst-case approach to minimize the outage probability. However, this is not efficient way for the massive MIMO systems, since there is a lot of capacity loss when the number of served users is large. To improve the accuracy of prediction, we propose MU-CQI prediction method based on channel quantization error feedback. Although the proposed scheme requires few feedback overhead like only 1bit, it shows remarkable performance gain compared to the conventional prediction scheme in terms of system goodput.",

author = "Taehyoung Kim and Kyungsik Min and Sooyong Choi",

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doi = "10.1109/ICCNC.2015.7069290",

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Kim, T, Min, K & Choi, S 2015, Multiuser CQI prediction based on quantization error feedback for massive MIMO systems. in 2015 International Conference on Computing, Networking and Communications, ICNC 2015., 7069290, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 32-36, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Garden Grove, United States, 15/2/16. https://doi.org/10.1109/ICCNC.2015.7069290

Multiuser CQI prediction based on quantization error feedback for massive MIMO systems. / Kim, Taehyoung; Min, Kyungsik; Choi, Sooyong.
2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 32-36 7069290 (2015 International Conference on Computing, Networking and Communications, ICNC 2015).

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

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AU - Kim, Taehyoung

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N2 - In this paper, multiuser channel quality indicator (MU-CQI) prediction based on channel quantization error feedback is proposed for massive multiple-input multiple-output (MIMO) systems. Basically, CQI reporting in the practical systems is performed based on the single user (SU) MIMO transmission mode to keep low feedback overhead and computational complexity. To operate in MU-MIMO transmission mode, the base station needs to predict the MU-CQI from the reported SU-CQI. The conventional CQI update method is based on the worst-case approach to minimize the outage probability. However, this is not efficient way for the massive MIMO systems, since there is a lot of capacity loss when the number of served users is large. To improve the accuracy of prediction, we propose MU-CQI prediction method based on channel quantization error feedback. Although the proposed scheme requires few feedback overhead like only 1bit, it shows remarkable performance gain compared to the conventional prediction scheme in terms of system goodput.

AB - In this paper, multiuser channel quality indicator (MU-CQI) prediction based on channel quantization error feedback is proposed for massive multiple-input multiple-output (MIMO) systems. Basically, CQI reporting in the practical systems is performed based on the single user (SU) MIMO transmission mode to keep low feedback overhead and computational complexity. To operate in MU-MIMO transmission mode, the base station needs to predict the MU-CQI from the reported SU-CQI. The conventional CQI update method is based on the worst-case approach to minimize the outage probability. However, this is not efficient way for the massive MIMO systems, since there is a lot of capacity loss when the number of served users is large. To improve the accuracy of prediction, we propose MU-CQI prediction method based on channel quantization error feedback. Although the proposed scheme requires few feedback overhead like only 1bit, it shows remarkable performance gain compared to the conventional prediction scheme in terms of system goodput.

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Kim T, Min K, Choi S. Multiuser CQI prediction based on quantization error feedback for massive MIMO systems. In 2015 International Conference on Computing, Networking and Communications, ICNC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 32-36. 7069290. (2015 International Conference on Computing, Networking and Communications, ICNC 2015). doi: 10.1109/ICCNC.2015.7069290

Multiuser CQI prediction based on quantization error feedback for massive MIMO systems

Abstract

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