Modeling of widely linear digitally controlled self-interference canceller for full-duplex transceiver

Sornalatha, R.; Janakiraman, N.; Balasharmitha, T.

doi:10.1109/wispnet.2017.8299753

Cited by 2 publications

(4 citation statements)

References 14 publications

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“…However, the reduced-entropy improper Gaussian signaling (IGS) can be beneficial in unlicensed spectrum-sharing techniques with minimal interference to the legitimate users in underlay [49]- [53], overlay [54] and interweave [55] cognitive radio setups. Followed by the opinion of dominant improper/asymmetric signaling when the system is contaminated by the improper complex interference [56], [57], self-interference [58]- [60], improper noise [8], [45], [61], [62], asymmetric noise/distortions [38], [63], [64] and NC hardware imperfections [9], [65]- [69].…”

Section: B Motivationmentioning

confidence: 99%

“…3) Full Duplex Systems: The performance of full duplex systems with simultaneous transmission and reception is invariably limited by the inherent self-interference (SI). This can be efficiently mitigated with the optimal asymmetric signaling transmission for in-band full-duplex capable transceivers with [49] or without [60] spectrum sharing, SISO [89] and MIMO [93],…”

Section: Communication Systemsmentioning

confidence: 99%

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A Journey from Improper Gaussian Signaling to Asymmetric Signaling

Javed¹,

Amin²,

Shihada³

et al. 2020

Preprint

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p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 9.0px Helvetica} The deviation of continuous and discrete complex random variables from the traditional proper and symmetric assumption to a generalized improper and asymmetric characterization (accounting correlation between a random entity and its complex conjugate), respectively, introduces new design freedom and various potential merits. As such, the theory of impropriety has vast applications in medicine, geology, acoustics, optics, image and pattern recognition, computer vision, and other numerous research fields with our main focus on the communication systems. The journey begins from the design of improper Gaussian signaling in the interference-limited communications and leads to a more elaborate and practically feasible asymmetric discrete modulation design. Such asymmetric shaping bridges the gap between theoretically and practically achievable limits with sophisticated transceiver and detection schemes in both coded/uncoded wireless/optical communication systems. Interestingly, introducing asymmetry and adjusting the transmission parameters according to some design criterion render optimal performance without affecting the bandwidth or power requirements of the systems. This dual-flavored article initially presents the tutorial base content covering the interplay of reality/complexity, propriety/impropriety and circularity/noncircularity and then surveys majority of the contributions in this enormous journey.

show abstract

Section: B Motivationmentioning

confidence: 99%

Section: Communication Systemsmentioning

confidence: 99%

A Journey from Improper Gaussian Signaling to Asymmetric Signaling

Javed¹,

Amin²,

Shihada³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…However, the reduced-entropy improper Gaussian signaling (IGS) can be beneficial in unlicensed spectrumsharing techniques with minimal interference to the legitimate users in underlay [49]- [53], overlay [54] and interweave [55] cognitive radio setups. Followed by the opinion of dominant improper/asymmetric signaling when the system is contaminated by the improper complex interference [56], [57], selfinterference [58]- [60], improper noise [8], [45], [61], [62], asymmetric noise/distortions [38], [63], [64] and non-circular hardware imperfections [9], [65]- [69].…”

Section: B Motivationmentioning

confidence: 99%

Section: Communication Systemsmentioning

confidence: 99%

A Journey From Improper Gaussian Signaling to Asymmetric Signaling

Javed

Amin

Shihada

et al. 2020

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

The deviation of continuous and discrete complex random variables from the traditional proper and symmetric assumption to a generalized improper and asymmetric characterization (accounting correlation between a random entity and its complex conjugate), respectively, introduces new design freedom and various potential merits. As such, the theory of impropriety has vast applications in medicine, geology, acoustics, optics, image and pattern recognition, computer vision, and other numerous research fields with our main focus on the communication systems. The journey begins from the design of improper Gaussian signaling in the interference-limited communications and leads to a more elaborate and practically feasible asymmetric discrete modulation design. Such asymmetric shaping bridges the gap between theoretically and practically achievable limits with sophisticated transceiver and detection schemes in both coded/uncoded wireless/optical communication systems. Interestingly, introducing asymmetry and adjusting the transmission parameters according to some design criterion render optimal performance without affecting the bandwidth or power requirements of the systems. This dual-flavored article initially presents the tutorial base content covering the interplay of reality/complexity, propriety/impropriety and circularity/non-circularity and then surveys majority of the contributions in this enormous journey.

show abstract

Modeling of widely linear digitally controlled self-interference canceller for full-duplex transceiver

Cited by 2 publications

References 14 publications

A Journey from Improper Gaussian Signaling to Asymmetric Signaling

A Journey from Improper Gaussian Signaling to Asymmetric Signaling

A Journey From Improper Gaussian Signaling to Asymmetric Signaling

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