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.
|Title of host publication||2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2016|
|Event||59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States|
Duration: 2016 Dec 4 → 2016 Dec 8
|Name||2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings|
|Other||59th IEEE Global Communications Conference, GLOBECOM 2016|
|Period||16/12/4 → 16/12/8|
Bibliographical notePublisher 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