Superimposed signaling inspired channel estimation in full-duplex systems

Koohian, Abbas; Mehrpouyan, Hani; Nasir, Ali A.; Durrani, Salman; Blostein, Steven D.

doi:10.1186/s13634-018-0529-9

Cited by 2 publications

(2 citation statements)

References 41 publications

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“…2 The design of optimum asymmetric modulation constellations is outside the scope of this paper and is the subject of future work [14]. It is again clear from (5) that the effect of superimposed signalling with constant signal P is the same as shifting the modulation constellation by P along the horizontal axis.…”

Section: B Modified System Modelmentioning

confidence: 99%

Residual self-interference cancellation and data detection in full-duplex communication systems

Koohian

Mehrpouyan

Nasir

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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Abstract-Residual self-interference cancellation is an important practical requirement for realizing the full potential of full-duplex (FD) communication. Traditionally, the residual selfinterference is cancelled via digital processing at the baseband, which requires accurate knowledge of channel estimates of the desired and self-interference channels. In this work, we consider point-to-point FD communication and propose a superimposed signaling technique to cancel the residual self-interference and detect the data without estimating the unknown channels. We show that when the channel estimates are not available, data detection in FD communication results in ambiguity if the modulation constellation is symmetric around the origin. We demonstrate that this ambiguity can be resolved by superimposed signalling, i.e., by shifting the modulation constellation away from the origin, to create an asymmetric modulation constellation. We compare the performance of the proposed detection method to that of the conventional channel estimation-based detection method, where the unknown channels are first estimated and then the data signal is detected. Simulations show that for the same average energy over a transmission block, the bit error rate performance of the proposed detection method is better than that of the conventional method. The proposed method does not require any channel estimates and is bandwidth efficient.

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Section: B Modified System Modelmentioning

confidence: 99%

Residual self-interference cancellation and data detection in full-duplex communication systems

Koohian

Mehrpouyan

Nasir

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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“…For the complexity analysis of the proposed joint channel and PN estimation technique, we take the approach used by [36,37] and count the number of multiplications and additions used in each step of EKF algorithm. Table 2 shows the complexity of each step of EKF algorithm using O−notation.…”

Section: Complexity Analysis Of Ekfmentioning

confidence: 99%

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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Superimposed signaling inspired channel estimation in full-duplex systems

Cited by 2 publications

References 41 publications

Residual self-interference cancellation and data detection in full-duplex communication systems

Residual self-interference cancellation and data detection in full-duplex communication systems

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

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