Performance analysis of self-interference cancellation in full-duplex large-scale MIMO systems

Yeon Geun Lim; Daesik Hong; Chan Byoung Chae

doi:10.1109/GLOCOM.2016.7842132

Performance analysis of self-interference cancellation in full-duplex large-scale MIMO systems

Yeon Geun Lim, Daesik Hong, Chan Byoung Chae

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

2 Citations (Scopus)

Abstract

This paper presents the performance analysis of the self-interference cancellation (SIC) methods in full-duplex large-scale multiple-input multiple-output systems. To mitigate self-interference (SI), we assume that the full duplex-base station (BS) uses SI-subtraction or spatial suppression. Analytical and numerical results confirm that the SI-subtraction outperforms the spatial suppression for SIC in a perfect channel estimation case. It is also concluded that the uplink and the overall ergodic rates performance of the spatial suppression are respectively better than those of the SI-subtraction in an imperfect channel estimation case under a given system constraint such as uplink and downlink sum rates.

Original language	English
Title of host publication	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509013289
DOIs	https://doi.org/10.1109/GLOCOM.2016.7842132
Publication status	Published - 2016
Event	59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States Duration: 2016 Dec 4 → 2016 Dec 8

Publication series

Name	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

Other

Other	59th IEEE Global Communications Conference, GLOBECOM 2016
Country	United States
City	Washington
Period	16/12/4 → 16/12/8

Bibliographical note

Funding Information:
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the IT Consilience Creative Program (IITP-R0346-16-1008) supervised by the IITP (Institute for Information and Communications Technology Promotion) and ICT RandD program of MSIP/IITP {B0126-16-1012, Multiple Access Technique with Ultra-Low Latency and High Efficiency for Tactile Internet Services in IoT Environments}

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Networks and Communications
Hardware and Architecture
Safety, Risk, Reliability and Quality

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Lim, Y. G., Hong, D., & Chae, C. B. (2016). Performance analysis of self-interference cancellation in full-duplex large-scale MIMO systems. In 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings [7842132] (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2016.7842132

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abstract = "This paper presents the performance analysis of the self-interference cancellation (SIC) methods in full-duplex large-scale multiple-input multiple-output systems. To mitigate self-interference (SI), we assume that the full duplex-base station (BS) uses SI-subtraction or spatial suppression. Analytical and numerical results confirm that the SI-subtraction outperforms the spatial suppression for SIC in a perfect channel estimation case. It is also concluded that the uplink and the overall ergodic rates performance of the spatial suppression are respectively better than those of the SI-subtraction in an imperfect channel estimation case under a given system constraint such as uplink and downlink sum rates.",

author = "Lim, {Yeon Geun} and Daesik Hong and Chae, {Chan Byoung}",

note = "Funding Information: This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the IT Consilience Creative Program (IITP-R0346-16-1008) supervised by the IITP (Institute for Information and Communications Technology Promotion) and ICT RandD program of MSIP/IITP {B0126-16-1012, Multiple Access Technique with Ultra-Low Latency and High Efficiency for Tactile Internet Services in IoT Environments}; 59th IEEE Global Communications Conference, GLOBECOM 2016 ; Conference date: 04-12-2016 Through 08-12-2016",

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Lim, YG, Hong, D & Chae, CB 2016, Performance analysis of self-interference cancellation in full-duplex large-scale MIMO systems. in 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings., 7842132, 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 59th IEEE Global Communications Conference, GLOBECOM 2016, Washington, United States, 16/12/4. https://doi.org/10.1109/GLOCOM.2016.7842132

Performance analysis of self-interference cancellation in full-duplex large-scale MIMO systems. / Lim, Yeon Geun; Hong, Daesik ; Chae, Chan Byoung.

2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7842132 (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings).

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

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AB - This paper presents the performance analysis of the self-interference cancellation (SIC) methods in full-duplex large-scale multiple-input multiple-output systems. To mitigate self-interference (SI), we assume that the full duplex-base station (BS) uses SI-subtraction or spatial suppression. Analytical and numerical results confirm that the SI-subtraction outperforms the spatial suppression for SIC in a perfect channel estimation case. It is also concluded that the uplink and the overall ergodic rates performance of the spatial suppression are respectively better than those of the SI-subtraction in an imperfect channel estimation case under a given system constraint such as uplink and downlink sum rates.

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Lim YG, Hong D , Chae CB. Performance analysis of self-interference cancellation in full-duplex large-scale MIMO systems. In 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7842132. (2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings). https://doi.org/10.1109/GLOCOM.2016.7842132