1,837 research outputs found
All-Digital Self-interference Cancellation Technique for Full-duplex Systems
Full-duplex systems are expected to double the spectral efficiency compared
to conventional half-duplex systems if the self-interference signal can be
significantly mitigated. Digital cancellation is one of the lowest complexity
self-interference cancellation techniques in full-duplex systems. However, its
mitigation capability is very limited, mainly due to transmitter and receiver
circuit's impairments. In this paper, we propose a novel digital
self-interference cancellation technique for full-duplex systems. The proposed
technique is shown to significantly mitigate the self-interference signal as
well as the associated transmitter and receiver impairments. In the proposed
technique, an auxiliary receiver chain is used to obtain a digital-domain copy
of the transmitted Radio Frequency (RF) self-interference signal. The
self-interference copy is then used in the digital-domain to cancel out both
the self-interference signal and the associated impairments. Furthermore, to
alleviate the receiver phase noise effect, a common oscillator is shared
between the auxiliary and ordinary receiver chains. A thorough analytical and
numerical analysis for the effect of the transmitter and receiver impairments
on the cancellation capability of the proposed technique is presented. Finally,
the overall performance is numerically investigated showing that using the
proposed technique, the self-interference signal could be mitigated to ~3dB
higher than the receiver noise floor, which results in up to 76% rate
improvement compared to conventional half-duplex systems at 20dBm transmit
power values.Comment: Submitted to IEEE Transactions on Wireless Communication
Self-Interference Cancellation Using Time-Domain Phase Noise Estimation in OFDM Full-Duplex Systems
In full-duplex systems, oscillator phase noise (PN) problem is considered the
bottleneck challenge that may face the self-interference cancellation (SIC)
stage especially when orthogonal frequency division multiplexing (OFDM)
transmission scheme is deployed. Phase noise degrades the SIC performance
significantly, if not mitigated before or during the SIC technique. The
presence of the oscillator phase noise has different impacts on the transmitted
data symbol like common phase error (CPE) and inter-carrier interference (ICI).
However, phase noise can be estimated and mitigated digitally in either time or
frequency domain. Through this work, we propose a novel and simple time domain
self-interference (SI) phase noise estimation and mitigation technique. The
proposed algorithm is inspired from Wiener filtering in time domain. Simulation
results show that the proposed algorithm has a superior performance than the
already-existing time-domain or frequency domain PN mitigation solutions with a
noticeable reduction in the computational complexity
Multi-tap Digital Canceller for Full-Duplex Applications
We identify phase noise as a bottleneck for the performance of digital
self-interference cancellers that utilize a single auxiliary
receiver---single-tap digital cancellers---and operate in multipath propagation
environments. Our analysis demonstrates that the degradation due to phase noise
is caused by a mismatch between the analog delay of the auxiliary receiver and
the different delays of the multipath components of the self-interference
signal. We propose a novel multi-tap digital self-interference canceller
architecture that is based on multiple auxiliary receivers and a customized
Normalized-Least-Mean-Squared (NLMS) filtering for self-interference
regeneration. Our simulation results demonstrate that our proposed architecture
is more robust to phase noise impairments and can in some cases achieve 10~dB
larger self-interference cancellation than the single-tap architecture.Comment: SPAWC 201
Feasibility of In-band Full-Duplex Radio Transceivers with Imperfect RF Components: Analysis and Enhanced Cancellation Algorithms
In this paper we provide an overview regarding the feasibility of in-band
full-duplex transceivers under imperfect RF components. We utilize results and
findings from the recent research on full-duplex communications, while
introducing also transmitter-induced thermal noise into the analysis. This
means that the model of the RF impairments used in this paper is the most
comprehensive thus far. By assuming realistic parameter values for the
different transceiver components, it is shown that IQ imaging and
transmitter-induced nonlinearities are the most significant sources of
distortion in in-band full-duplex transceivers, in addition to linear
self-interference. Motivated by this, we propose a novel augmented nonlinear
digital self-interference canceller that is able to model and hence suppress
all the essential transmitter imperfections jointly. This is also verified and
demonstrated by extensive waveform simulations.Comment: 7 pages, presented in the CROWNCOM 2014 conferenc
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