A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems

Youngrok Jang; Dongheon Lee; Sooyong Choi

doi:10.1109/ICUFN.2018.8436748

A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems

Youngrok Jang, Dongheon Lee, Sooyong Choi

Department of Electrical and Electronic Engineering

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

Abstract

In this paper, we propose a feedback scheme of a channel covariance matrix with low overhead for massive multiple-input multiple-output systems. The proposed scheme decomposes the channel covariance matrix into the phase and amplitude parts. For the phase part, the element-wise uniform scalar quantization is performed. For the amplitude part, the following feedback information is generated: a bitmap which denotes a sign of difference between adjacent elements, the first value, an increment, and a decrement. To calculate the elements of the amplitude part, starting from the first value, when a bitmap is 1, the increment is added, otherwise the decrement is added. Simulation results show that the feedback overhead of the proposed scheme can be significantly reduced from 1.92% to 48.33% while the performance of mean square error can be maintained with that of the conventional scheme.

Original language	English
Title of host publication	ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	714-717
Number of pages	4
ISBN (Print)	9781538646465
DOIs	https://doi.org/10.1109/ICUFN.2018.8436748
Publication status	Published - 2018 Aug 14
Event	10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 - Prague, Czech Republic Duration: 2018 Jul 3 → 2018 Jul 6

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2018-July
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Other

Other	10th International Conference on Ubiquitous and Future Networks, ICUFN 2018
Country	Czech Republic
City	Prague
Period	18/7/3 → 18/7/6

Bibliographical note

Funding Information:
This work was partially supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment) and by the Graduate School of YONSEI University Research Scholarship Grants in 2017.

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

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10.1109/ICUFN.2018.8436748

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Jang, Y., Lee, D., & Choi, S. (2018). A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems. In ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks (pp. 714-717). [8436748] (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2018-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2018.8436748

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title = "A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems",

abstract = "In this paper, we propose a feedback scheme of a channel covariance matrix with low overhead for massive multiple-input multiple-output systems. The proposed scheme decomposes the channel covariance matrix into the phase and amplitude parts. For the phase part, the element-wise uniform scalar quantization is performed. For the amplitude part, the following feedback information is generated: a bitmap which denotes a sign of difference between adjacent elements, the first value, an increment, and a decrement. To calculate the elements of the amplitude part, starting from the first value, when a bitmap is 1, the increment is added, otherwise the decrement is added. Simulation results show that the feedback overhead of the proposed scheme can be significantly reduced from 1.92% to 48.33% while the performance of mean square error can be maintained with that of the conventional scheme.",

author = "Youngrok Jang and Dongheon Lee and Sooyong Choi",

note = "Funding Information: This work was partially supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment) and by the Graduate School of YONSEI University Research Scholarship Grants in 2017. Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018 ; Conference date: 03-07-2018 Through 06-07-2018",

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Jang, Y, Lee, D & Choi, S 2018, A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems. in ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks., 8436748, International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2018-July, IEEE Computer Society, pp. 714-717, 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018, Prague, Czech Republic, 18/7/3. https://doi.org/10.1109/ICUFN.2018.8436748

A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems. / Jang, Youngrok; Lee, Dongheon; Choi, Sooyong.

ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2018. p. 714-717 8436748 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2018-July).

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

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N1 - Funding Information: This work was partially supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment) and by the Graduate School of YONSEI University Research Scholarship Grants in 2017. Publisher Copyright: © 2018 IEEE.

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N2 - In this paper, we propose a feedback scheme of a channel covariance matrix with low overhead for massive multiple-input multiple-output systems. The proposed scheme decomposes the channel covariance matrix into the phase and amplitude parts. For the phase part, the element-wise uniform scalar quantization is performed. For the amplitude part, the following feedback information is generated: a bitmap which denotes a sign of difference between adjacent elements, the first value, an increment, and a decrement. To calculate the elements of the amplitude part, starting from the first value, when a bitmap is 1, the increment is added, otherwise the decrement is added. Simulation results show that the feedback overhead of the proposed scheme can be significantly reduced from 1.92% to 48.33% while the performance of mean square error can be maintained with that of the conventional scheme.

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A Low Overhead Feedback Scheme of Channel Covariance Matrix for Massive MIMO Systems

Abstract

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