Full Duplex Spatial Modulation System in presence of IQ imbalance

Zhou, Yanni; Huţu, Florin; Villemaud, Guillaume

doi:10.23919/ursigass49373.2020.9231978

“…Thus, proper modeling of the SI channel is crucial for SIC. In literature, many authors consider this channel as a multipath NLOS channel with a high Ricean K-factor [10], [11], [35]. The latter consideration is reasonable since, in FD systems, the distance between the T x and the R x parts is very small.…”

Section: A Self-interference Channelmentioning

confidence: 99%

Constrained-MMSE Combining for Spatial Domain Self-Interference Cancellation in Full-Duplex Massive MIMO Systems

Chen,

Savaux,

Crussière

et al. 2024

IEEE Open J. Commun. Soc.

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This paper introduces a novel spatial domain-based self-interference cancellation (SIC) method named constrained minimum mean square error (C-MMSE) for massive multiple-input multipleoutput (mMIMO) full-duplex (FD) communication systems. The main idea involves treating the selfinterference (SI) signal emitted from an FD node as a distinct spatial stream arriving at the receiver part of that same FD node. This SI signal needs to be spatially postcoded alongside other relevant signals coming from different transmitters, ensuring it falls into the null space of the MIMO channel, which includes the FD node transmitter part as an input. To establish this approach, we first adapt the expressions of spatial combiners for conventional zero forcing (ZF) and minimum mean square error combining (MMSE) criteria. We demonstrate that MMSE alone is insufficient for efficient SI signal cancellation unless an additional constraint is added to enable proper SIC. Consequently, we design the innovative C-MMSE combiner and derive its expression. In addition to our proposal, the originality of our work stems from employing a spherical wave model (SWM) to model the SI channel. The choice is justified by the proximity of the transmit and receive antenna panels in the FD node. We examine and compare the SIC performance of the modified ZF combiner, the modified MMSE combiner, and the newly introduced C-MMSE combiner by evaluating the spectral efficiency (SE). Additionally, we highlight the robustness of the SWM-based SI channel modeling in comparison to conventional planar wave modeling (PWM), emphasizing the relevance of its usage.

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“…Thus, a proper modelling of the SI channel is crucial for the SIC. In literature, many authors consider this channel as a multipath NLOS channel with a high Ricean K-factor [10], [11], [33]. The latter consideration is reasonable, since in FD systems, the distance between the T x and the R x parts is very small, and then the power of the LOS path directly emitted from the T x is very strong compared to the other NLOS paths.…”

Section: A Self-interference Channelmentioning

confidence: 99%

Constrained-MMSE Combining for Spatial Domain Self-Interference Cancellation in Full-Duplex Massive MIMO Systems

Chen,

Savaux,

Crussière

et al. 2023

Preprint

0

View full text Add to dashboard Cite

This paper deals with a new spatial domain-based self-interference cancellation (SIC) method called constrained minimum mean square error (C-MMSE) for massive multiple-input multiple-output (mMIMO) full-duplex (FD) communication systems. The main idea is to treat the self-interference (SI) signal emitted from an FD node as a particular spatial stream arriving at the receiver part of that same FD node which needs to be spatially postcoded along with other useful signals coming from other transmitters, so that it falls into the null space of the MIMO channel that includes the FD node transmitter part as an input. On this basis, we first adapt the expressions of the spatial combiners with respect to the conventional zero forcing (ZF) and minimum mean square error combining (MMSE) criteria and show that the latter is not capable to efficiently cancel the SI signal unless an additional constraint is added to properly perform SIC. We hence design the new so-called C-MMSE combiner and derive its expression. In addition to our proposal, the originality of our work lies in the consideration of spherical wave model (SWM) for modeling the SI channel, which is justified by the close proximity of the transmit and receive antenna panels in the FD node. We examine and compare the SIC performance of the adapted ZF combiner, the adapted MMSE combiner and the newly introduced C-MMSE combiner by evaluating the obtained spectral efficiency (SE). We also highlight the robustness of the SWM-based SI channel modelling compared to conventional planar wave modelling (PWM) and therefore the relevance of using it.

show abstract

“…Thus, a proper modelling of the SI channel is crucial for the SIC. In literature, many authors consider this channel as a multipath NLOS channel with a high Ricean K-factor [10], [11], [33]. The latter consideration is reasonable, since in FD systems, the distance between the T x and the R x parts is very small, and then the power of the LOS path directly emitted from the T x is very strong compared to the other NLOS paths.…”

Section: A Self-interference Channelmentioning

confidence: 99%

Constrained-MMSE Combining for Spatial Domain Self-Interference Cancellation in Full-Duplex Massive MIMO Systems

Chen,

Savaux,

Crussière

et al. 2023

Preprint

0

View full text Add to dashboard Cite

This paper deals with a new spatial domain-based self-interference cancellation (SIC) method called constrained minimum mean square error (C-MMSE) for massive multiple-input multiple-output (mMIMO) full-duplex (FD) communication systems. The main idea is to treat the self-interference (SI) signal emitted from an FD node as a particular spatial stream arriving at the receiver part of that same FD node which needs to be spatially postcoded along with other useful signals coming from other transmitters, so that it falls into the null space of the MIMO channel that includes the FD node transmitter part as an input. On this basis, we first adapt the expressions of the spatial combiners with respect to the conventional zero forcing (ZF) and minimum mean square error combining (MMSE) criteria and show that the latter is not capable to efficiently cancel the SI signal unless an additional constraint is added to properly perform SIC. We hence design the new so-called C-MMSE combiner and derive its expression. In addition to our proposal, the originality of our work lies in the consideration of spherical wave model (SWM) for modeling the SI channel, which is justified by the close proximity of the transmit and receive antenna panels in the FD node. We examine and compare the SIC performance of the adapted ZF combiner, the adapted MMSE combiner and the newly introduced C-MMSE combiner by evaluating the obtained spectral efficiency (SE). We also highlight the robustness of the SWM-based SI channel modelling compared to conventional planar wave modelling (PWM) and therefore the relevance of using it.

show abstract

Full Duplex Spatial Modulation System in presence of IQ imbalance

Cited by 7 publications

References 7 publications

Constrained-MMSE Combining for Spatial Domain Self-Interference Cancellation in Full-Duplex Massive MIMO Systems

Constrained-MMSE Combining for Spatial Domain Self-Interference Cancellation in Full-Duplex Massive MIMO Systems

Constrained-MMSE Combining for Spatial Domain Self-Interference Cancellation in Full-Duplex Massive MIMO Systems

Constrained-MMSE Combining for Spatial Domain Self-Interference Cancellation in Full-Duplex Massive MIMO Systems

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