SIMRP: Self-Interference Mitigation Using RIS and Phase Shifter Network

Strong self-interference due to the co-located transmitter is the bottleneck for implementing an in-band full-duplex (IBFD) system. If not adequately mitigated, the strong interference can saturate the receiver's analog-digital converters (ADCs) and hence void the digital processing. This paper considers utilizing a reconfigurable intelligent surface (RIS), together with a receiving (Rx) phase shifter network (PSN), to mitigate the strong self-interference through jointly optimizing their phases. This method, named self-interference mitigation using RIS and PSN (SIMRP), can suppress self-interference to avoid ADC saturation effectively and therefore improve the sum rate performance of communication systems, as verified by the simulation studies.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10827015
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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SIMRP: Self-Interference Mitigation Using RIS and Phase Shifter Network

Zhiyong Bu, Wei Zhang, Yi Jiang, Ding Chen et al.
Energy Efficient Wireless Sensor Networks
article

SIMRP: Self-Interference Mitigation Using RIS and Phase Shifter Network

Zhiyong Bu, Wei Zhang, Yi Jiang, Ding Chen, Bin Zhou
article en

Abstract

Strong self-interference due to the co-located transmitter is the bottleneck for implementing an in-band full-duplex (IBFD) system. If not adequately mitigated, the strong interference can saturate the receiver's analog-digital converters (ADCs) and hence void the digital processing. This paper considers utilizing a reconfigurable intelligent surface (RIS), together with a receiving (Rx) phase shifter network (PSN), to mitigate the strong self-interference through jointly optimizing their phases. This method, named self-interference mitigation using RIS and PSN (SIMRP), can suppress self-interference to avoid ADC saturation effectively and therefore improve the sum rate performance of communication systems, as verified by the simulation studies.

Fudan University (CN), Shanghai Institute of Microsystem and Information Technology (CN)
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Openalex Percentile: Top 70%
Energy Efficient Wireless Sensor Networks
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