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 |
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Title of host publication | 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509013289 |
DOIs | |
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 |
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Other
Other | 59th IEEE Global Communications Conference, GLOBECOM 2016 |
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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