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

Taehyoung Kim, Kyungsik Min, Sooyong Choi

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2015 International Conference on Computing, Networking and Communications, ICNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages32-36
Number of pages5
ISBN (Electronic)9781479969593
DOIs
Publication statusPublished - 2015 Jan 1
Event2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States
Duration: 2015 Feb 162015 Feb 19

Other

Other2015 International Conference on Computing, Networking and Communications, ICNC 2015
CountryUnited States
CityGarden Grove
Period15/2/1615/2/19

Fingerprint

Feedback
Outages
Base stations
Computational complexity

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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] 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
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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, 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.

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

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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 https://doi.org/10.1109/ICCNC.2015.7069290