Passive Self-Interference Suppression for Full-Duplex Infrastructure Nodes
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Abstract (arXiv)
Recent research results have demonstrated the feasibility of full-duplex wireless communication for short-range links. Although the focus of the previous works has been active cancellation of the self-interference signal, a majority of the overall self-interference suppression is often due to passive suppression, i.e., isolation of the transmit and receive antennas. We present a measurement-based study of the capabilities and limitations of three key mechanisms for passive self-interference suppression: directional isolation, absorptive shielding, and cross-polarization. The study demonstrates that more than 70 dB of passive suppression can be achieved in certain environments, but also establishes two results on the limitations of passive suppression: (1) environmental reflections limit the amount of passive suppression that can be achieved, and (2) passive suppression, in general, increases the frequency selectivity of the residual self-interference signal. These results suggest two design implications: (1) deployments of full-duplex infrastructure nodes should minimize near-antenna reflectors, and (2) active cancellation in concatenation with passive suppression should employ higher-order filters or per-subcarrier cancellation.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Feb 2013.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 1.
3 papers.
- 2021Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systemscited by 3
- 2022Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearitycited by 0
- 2025RL-Aided Cognitive ISAC: Robust Detection and Sensing-Communication Trade-offscited by 0
- 2025RL-Aided Cognitive ISAC: Robust Detection and Sensing-Communication Trade-offs4 Nov 2025
- 2022Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity12 Jul 2022
- 2021Hybrid-Layers Neural Network Architectures for Modeling the Self-Interference in Full-Duplex Systems18 Oct 2021