Comparison of Adaptive Filtering Strategies for Self-Interference Cancellation in LTE Communication Systems

Despina-Stoian, Cristina; Digulescu-Popescu, Angela; Alexandra, Serbanescu; Youssef, Roua; Rădoi, Emanuel

doi:10.1109/comm48946.2020.9141965

Cited by 9 publications

(6 citation statements)

References 7 publications

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“…After that, the DSIC process is applied to obtain the estimated SI channel

by using an adaptive filter with the Recursive Least-Squares (RLS) algorithm, and its forgetting factor

should be chosen between 0.9 and 1 [ 37 ]. The RLS algorithm was chosen because it has a faster convergence and better performance in the DSIC process compared to other algorithms such as the Least Mean Squares (LMS) or Normalised Least Mean Squares (NLMS) [ 38 , 39 , 40 ]. A reference signal

from the transmitter side of User A can be used to cancel the SI component to obtain:

…”

Section: Conventional Sb _dsiced3 _w/of Schemementioning

confidence: 99%

Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions

Vuong

Gautier

et al. 2022

Sensors

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The paper proposes a joint semi-blind algorithm for simultaneously cancelling the self-interference component and estimating the propagation channel in 5G Quasi-Cyclic Low-Density Parity-Check (QC-LDPC)-encoded short-packet Full-Duplex (FD) transmissions. To avoid the effect of channel estimation processes when using short-packet transmissions, this semi-blind algorithm was developed by taking into account only a small number (four at least) pilot symbols, which was integrated with the intended information sequence and used for the feedback loop of the estimation of the channels. The results showed that this semi-blind algorithm not only achieved nearly optimal performance, but also significantly reduced the processing time and computational complexity. This semi-blind algorithm can also improve the performances of the Mean-Squared Error (MSE) and Bit Error Rate (BER). The results of this study highlight the potential efficiency of this joint semi-blind iterative algorithm for 5G and Beyond and/or practical IoT transmission scenarios.

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“…After that, the DSIC process is applied to obtain the estimated SI channel

by using an adaptive filter with the Recursive Least-Squares (RLS) algorithm, and its forgetting factor

from the transmitter side of User A can be used to cancel the SI component to obtain:

…”

Section: Conventional Sb _dsiced3 _w/of Schemementioning

confidence: 99%

Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions

Vuong

Gautier

et al. 2022

Sensors

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“…The conventional scheme without feedback with the RLS algorithm and the SPA decoding algorithm is an optimal estimation [ 40 ] and decoding algorithm, but with a high computational complexity [ 41 ], because it requires an updated LLR sequence and decoding for each iteration. It is not suitable for short-packet FD transmission due to the high estimation error of the SI channel [ 10 ] and power consumption in IoT applications and green communications due to the high latency of the 5G QC-LDPC decoder [ 42 , 43 ].…”

Section: Case I: Passive Eavesdroppermentioning

confidence: 99%

Secrecy Coding Analysis of Short-Packet Full-Duplex Transmissions with Joint Iterative Channel Estimation and Decoding Processes

Vuong

Gautier

Fiche

et al. 2022

Sensors

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This paper studies the secrecy coding analysis achieved by the self-jamming technique in the presence of an eavesdropper by considering a short-packet Full-Duplex (FD) transmission developed based on iterative blind or semi-blind channel estimation and advanced decoding algorithms. Indeed, the legitimate receiver and eavesdropper can simultaneously receive the intended signal from the transmitter and broadcast a self-jamming or jamming signal to the others. Unlike other conventional techniques without feedback, the blind or semi-blind algorithm applied at the legitimate receiver can simultaneously estimate, firstly, the Self-Interference (SI) channel to cancel the SI component and, secondly, estimate the propagation channel, then decode the intended messages by using 5G Quasi-Cyclic Low-Density Parity Check (QC-LDPC) codes. Taking into account the passive eavesdropper case, the blind channel estimation with a feedback scheme is applied, where the temporary estimation of the intended channel and the decoded message are fed back to improve both the channel estimation and the decoding processes. Only the blind algorithm needs to be implemented in the case of a passive eavesdropper because it achieves sufficient performances and does not require adding pilot symbols as the semi-blind algorithm. In the case of an active eavesdropper, based on its robustness in the low region of the Signal-to-Noise Ratio (SNR), the semi-blind algorithm is considered by trading four pilot symbols and only requiring the feedback for channel estimation processes in order to overcome the increase in noise in the legitimate receiver. The results show that the blind or semi-blind algorithms outperform the conventional algorithm in terms of Mean Square Error (MSE), Bit Error Rate (BER) and security gap (Sg). In addition, it has been shown that the blind or semi-blind algorithms are less sensitive to high SI and self-jamming interference power levels imposed by secured FD transmission than the conventional algorithms without feedback.

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“…After some iterations for a sufficient saturation, the channel estimates and decoded messages can be achieved with the minimum error. The channel estimation processes for both SI channel and intended channel are based on the RLS algorithm as its best performance with faster convergence compared to others [29]- [31]. It is used to monitor the change in time of the SI channel per each iteration to get a better estimation and reconstruction of the interference and intended signals.…”

Section: Introductionmentioning

confidence: 99%

Joint Iterative Blind Self-Interference Cancellation, Propagation Channel Estimation and Decoding Processes in Full-Duplex Transmissions

et al. 2022

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The paper proposes a joint blind iterative Self-Interference (SI) cancellation, propagation channel estimation and decoding algorithm in Full-Duplex (FD) transmissions via feedback of channel estimates and decoded messages combined with the process of Digital Self-Interference Cancellation (DSIC). Different from the conventional algorithm, the proposed blind algorithm simultaneously estimates the self-interference and propagation channels and decodes messages in each decoding iteration of 5G Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes. The temporary propagation channel estimate and decoded message are fed back to improve the self-interference cancellation and also the channel estimation as well as decoding in the next iteration. The results show that the proposed algorithm outperforms the conventional algorithm, especially at high signal to noise ratio (SNR) and small number of symbols, and requires much less processing time and computational complexity while achieving the convergence performance. The results also show that the proposed algorithm is less sensitive to SI level than the conventional algorithm. The paper further proposes a partial feedback scheme, which only use few feedback symbols for channel estimation, to significantly reduce the processing time and computational complexity while maintaining the performance. These good properties seem quite suitable for a use of this proposed blind iterative algorithm for short-length packet FD transmissions in Internet-of-Things (IoT) applications and green communications.

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Comparison of Adaptive Filtering Strategies for Self-Interference Cancellation in LTE Communication Systems

Cited by 9 publications

References 7 publications

Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions

Joint Semi-Blind Self-Interference Cancellation and Equalisation Processes in 5G QC-LDPC-Encoded Short-Packet Full-Duplex Transmissions

Secrecy Coding Analysis of Short-Packet Full-Duplex Transmissions with Joint Iterative Channel Estimation and Decoding Processes

Joint Iterative Blind Self-Interference Cancellation, Propagation Channel Estimation and Decoding Processes in Full-Duplex Transmissions

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