Residual Self-Interference Analysis for Full-Duplex OFDM Transceivers Under Phase Noise and I/Q Imbalance

Samara, Lutfi; Mokhtar, Mohamed; Özdemir, Özgür; Hamila, Ridha; Khattab, Tamer

doi:10.1109/lcomm.2016.2620431

Cited by 32 publications

(18 citation statements)

References 10 publications

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“…Since the focus of this work is residual SI cancelation, we only include PN in our model and assume that the other hardware impairments are dealt by a RF canceler. Such an assumption is also made in [20,21,27,28]. 3.…”

Section: System Modelmentioning

confidence: 98%

Joint channel and phase noise estimation for mmWave full-duplex communication systems

Koohian

Mehrpouyan

Nasir

et al. 2019

EURASIP J. Adv. Signal Process.

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Full-duplex (FD) communication at millimeter-wave (mmWave) frequencies suffers from a strong self-interference (SI) signal, which can only be partially canceled using conventional RF cancelation techniques. This is because current digital SI cancellation techniques, designed for microwave frequencies, ignore the rapid phase noise (PN) variation at mmWave frequencies, which can lead to large estimation errors. In this work, we consider a multiple-input multiple-output mmWave FD communication system. We propose an extended Kalman filter-based estimation algorithm to track the rapid variation of PN at mmWave frequencies. We derive a lower bound for the estimation error of PN at mmWave and numerically show that the mean square error performance of the proposed estimator approaches the lower bound. We also simulate the bit error rate performance of the proposed system and show the effectiveness of a digital canceler, which uses the proposed estimator to estimate the SI channel. The results show that for a 2 × 2 FD system with 64−QAM modulation and PN variance of 10 −4 , the residual SI power can be reduced to − 25 dB and − 40 dB, respectively, for signal-to-interference ratio of 0 and 15 dB.

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Section: System Modelmentioning

confidence: 98%

Joint channel and phase noise estimation for mmWave full-duplex communication systems

Koohian

Mehrpouyan

Nasir

et al. 2019

EURASIP J. Adv. Signal Process.

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“…Again, the results depend on the system parameters and the performance of the system can be evaluated for different configurations. Following (11) and (13), total power of residual SI signal after C-DLC may be expressed as…”

Section: A Si Signal Power Analysismentioning

confidence: 99%

Full-Duplex GFDM Radio Transceivers in the Presence of Phase Noise, CFO and IQ Imbalance

Mohammadian

Tellambura

2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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This paper addresses the performance of a fullduplex (FD) generalized frequency division multiplexing (GFDM) transceiver in the presence of radio frequency (RF) impairments including phase noise, carrier frequency offset (CFO) and inphase (I) and quadrature (Q) imbalance. We study analog and digital self-interference (SI) cancellation and develop a complementary SI suppression method. Closed-form solutions for the residual SI power and the desired signal power and signalto-interference ratio (SIR) are provided. Simulation results show that the RF impairments degrade SI cancellation and FD GFDM is more sensitive to them compares to FD orthogonal frequency division multiplexing (OFDM). Hence, we propose an FD GFDM receiver filter for maximizing the SIR. Significantly, it achieves 25 dB higher SIR than FD OFDM transceiver.Index Terms-Full-duplex radios, generalized frequency division multiplexing (GFDM), radio frequency (RF) impairments, signal-to-interference ratio (SIR), filter design.

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“…• λ is the weighting coefficient which represents the relative importance of the two objective functions in our problem. • The flow rate constraint is represented by (7) to guarantee that the whole generated data is transmitted, where R s is the generated data rate. It is worth pointing here that, for the power feasibility, we must have R s < B log 2 (1 + h/µ).…”

Section: B Problem Formulationmentioning

confidence: 99%

“…Thus, we envision that Full-duplex (FD) communications can play a significant role to meet this demand for high data rates. FD communications has enabled a wireless transceiver to simultaneously transmit and receive wireless information on the same frequency band, hence potentially doubling the system sum-rate compared with wireless Half-Duplex (HD) transmission [6], [7], [8]. However, FD communication cannot be efficiently exploited without dealing with the selfinterference (SI) coming from the simultaneous transmission and reception at the same band and time.…”

Section: Introductionmentioning

confidence: 99%

Compress or Interfere?

Abdellatif

Samara

Mohamed

et al. 2019

2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

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Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical records anytime and anywhere without limiting patients' activities. However, critical challenges have emerged with remote monitoring systems due to the enormous amount of generated data that need to be efficiently processed and wirelessly transmitted to the service providers in time. Thus, in this paper, we leverage full-duplex capabilities for fast transmission, while tackling the trade-off between Quality of Service (QoS) requirements and consequent self-interference (SI) for efficient remote monitoring healthcare systems. The proposed framework jointly considers the residual SI resulting from simultaneous transmission and reception along with the compressibility feature of medical data in order to optimize the data transmission over wireless channels, while maintaining the application's QoS constraint. Our simulation results demonstrate the efficiency of the proposed solution in terms of minimizing the transmission power, residual self-interference, and encoding distortion.

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Residual Self-Interference Analysis for Full-Duplex OFDM Transceivers Under Phase Noise and I/Q Imbalance

Cited by 32 publications

References 10 publications

Joint channel and phase noise estimation for mmWave full-duplex communication systems

Joint channel and phase noise estimation for mmWave full-duplex communication systems

Full-Duplex GFDM Radio Transceivers in the Presence of Phase Noise, CFO and IQ Imbalance

Compress or Interfere?

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