Publication | Closed Access
On the Impact of Phase Noise on Active Cancelation in Wireless Full-Duplex
219
Citations
13
References
2013
Year
Active CancelationMimo SystemMulti-carrier CommunicationEngineeringFull DuplexMultiuser MimoPerformance BottlenecksChannel EqualizationComputer EngineeringNoisePhase NoiseWireless Full-duplexChannel EstimationInterference CancellationKey BottleneckSignal ProcessingFull-duplex CommunicationElectromagnetic Compatibility
Full‑duplex communication is feasible for short‑range links, but extending it to long‑range remains difficult due to residual self‑interference despite passive suppression and active cancellation. This study investigates the root cause of performance bottlenecks in current full‑duplex systems. The authors classify full‑duplex architectures by canceling‑signal computation and injection point, analytically explain published results, and propose signal models for wideband and MIMO systems to guide future design. The key bottleneck is phase noise in the local oscillators of the transmit‑and‑receive chain.
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 cancelation 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 canceling signal and where the canceling 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 multiple-input-multiple-output (MIMO) full-duplex systems, capturing all the salient design parameters, thus allowing future analytical development of advanced coding and signal design for full-duplex systems.
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