2015
DOI: 10.1109/twc.2015.2407876
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All-Digital Self-Interference Cancellation Technique for Full-Duplex Systems

Abstract: Full-duplex systems are expected to double the spectral efficiency compared to conventional halfduplex 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.… Show more

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Cited by 356 publications
(255 citation statements)
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“…As discussed in Section 1, even with state-of-the-art passive suppression and analog cancellation, the SIR can still be around − 5 dB [5,40]. Hence, we adopt this value of the SIR in the simulations while assuming that the communication channel has average energy of unity, i.e., E |h ba | 2 = σ 2 h ba = 1.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…As discussed in Section 1, even with state-of-the-art passive suppression and analog cancellation, the SIR can still be around − 5 dB [5,40]. Hence, we adopt this value of the SIR in the simulations while assuming that the communication channel has average energy of unity, i.e., E |h ba | 2 = σ 2 h ba = 1.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…These unknown transmitted symbols can be treated as hidden data. A common approach to solving the maximization problem in (10) in the presence of hidden data is the EM algorithm [33], which is adopted in this work. The main steps of EM algorithm are 1.…”
Section: Em-based Estimatormentioning
confidence: 99%
“…The residue of self-interference, n s , is the component that is seen by the relay decoder. Several works to date [27][28][29] have used a Gaussian model for n s , an approximation that is confirmed by various measurements [30,31]. Therefore, the combinationñ 2 = n 2 + n s is also Gaussian with the appropriate variance.…”
Section: The Relay Channelmentioning
confidence: 89%
“…Previous works have also used digital cancellation to compensate for nonidealities in the TX and RX chains from active components, and phase noise [4,[20][21][22][23][24][25]. Here, the linear and nonlinear distortions can be estimate using complex models to account for the dynamic TX signal through the components.…”
Section: Digital Cancellationmentioning
confidence: 99%