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/Territory | United States |
| City | Washington |
| Period | 16/12/4 → 16/12/8 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Computer Networks and Communications
- Hardware and Architecture
- Safety, Risk, Reliability and Quality