Analog Self-Interference Cancellation in Full-Duplex Radios: A Fundamental Limit Perspective
Limin Liao, Jun Sun, Junzhi Wang, Yingzhuang Liu

TL;DR
This paper investigates the fundamental performance limits of analog self-interference cancellation in full-duplex radios, considering practical issues like nonstationarity, nonlinearities, multipath channels, and amplitude constraints.
Contribution
It provides a comprehensive analysis and optimization framework for A-SIC employing multi-tap delay architecture, incorporating realistic system impairments.
Findings
Approximation error for cyclostationary signals equals that for stationary signals.
Decomposition of multipath SI channel approximation error.
Framework for optimizing A-SIC considering practical constraints.
Abstract
Analog self-interference cancellation (A-SIC) plays a crucial role in the implementation of in-band full-duplex (IBFD) radios, due to the fact that the inherent transmit (Tx) noise can only be addressed in the analog domain. It is thus natural to ask what the performance limit of A-SIC is in practical systems, which is still quite underexplored so far. In this paper, we aim to close this gap by characterizing the fundamental performance of A-SIC which employs the common multi-tap delay (MTD) architecture, by accounting for the following practical issues: 1) Nonstationarity of the Tx signal; 2) Nonlinear distortions on the Tx signal; 3) Multipath channel corresponding to the self-interference (SI); 4) Maximum amplitude constraint on the MTD tap weights. Our findings include: 1) The average approximation error for the cyclostationary Tx signals is equal to that for the stationary white…
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Taxonomy
TopicsFull-Duplex Wireless Communications · Radar Systems and Signal Processing · Energy Harvesting in Wireless Networks
