On the Impact of Phase Noise on Active Cancellation in Wireless Full-Duplex

TL;DR

This paper analyzes how phase noise in local oscillators limits the performance of active self-interference cancellation in wireless full-duplex systems, especially for long-range communication.

Contribution

It classifies full-duplex architectures, explains experimental results, and models phase noise effects to guide future design improvements.

Findings

Phase noise is the main bottleneck in current full-duplex systems.

Analytical models for wideband and MIMO full-duplex systems are proposed.

Understanding phase noise can enable better coding and signal design.

Abstract

Recent experimental results have shown that full-duplex communication is possible for short-range communications. However, extending full-duplex to long-range communication remains a challenge, primarily due to residual self-interference even with a combination of passive suppression and active cancellation methods. In this paper, we investigate the root cause of performance bottlenecks in current full-duplex systems. We first classify all known full-duplex architectures based on how they compute their cancelling signal and where the cancelling signal is injected to cancel self-interference. Based on the classification, we analytically explain several published experimental results. The key bottleneck in current systems turns out to be the phase noise in the local oscillators in the transmit and receive chain of the full-duplex node. As a key by-product of our analysis, we propose signal models for wideband and MIMO full-duplex systems, capturing all the salient design parameters, and thus allowing future analytical development of advanced coding and signal design for full-duplex systems.