Multiple Antenna Systems With Hardware Impairments: New Performance Limits

Javed, Sidrah; Amin, Osama; Ikki, Salama; Alouini, Mohamed‐Slim

doi:10.1109/tvt.2018.2888690

Cited by 30 publications

(86 citation statements)

References 36 publications

(68 reference statements)

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“…Theorem 1. Transceiver I/Q imbalance transforms the symmetric transmitted signal to asymmetric received signal and the proper Gaussian interference to improper Gaussian interference [22].…”

Section: B Hardware Impaired Signal Modelmentioning

confidence: 99%

“…The aforementioned contributions are focused on the modeling, performance analysis, and mitigation strategies. However, [22] considered the combined effect of various HWIs including both transmitter and receiver I/Q mismatch as well as accumulative additive distortions at the transmitter as well as the receiver. This research investigates full characterization of the self-interfering (SI) information signals and improper Gaussian noise components inspired by the statistical signal processing studies, which highlighted the asymmetric characteristics of baseband communication signals due to the I/Q imbalance [23].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, we assumed asymmetric additive distortion and studied the benefits of employing asymmetric transmission on the achievable rate and outage probability of SISO and SIMO systems in [29] and [12], respectively. Moreover, the ergodic rate maximization based on a generalized error model incorporating various forms of HWIs in SIMO and MIMO systems is studied in [22].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we analyze the error probability performance of communication systems suffering from HWIs represented in I/Q imbalance and additive distortions at both transmitter and receiver. Moreover, motivated by the theoretical limits results in [22], which demonstrated the benefits of employing improper Gaussian signaling to improve the performance of hardware impaired systems, we adopt asymmetric signaling scheme to minimize the error probability performance. In the following, we summarize the main contributions as:…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Asymmetric Modulation for Hardware Impaired Systems—Error Probability Analysis and Receiver Design

Javed

Amin

Ikki

et al. 2019

IEEE Trans. Wireless Commun.

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“…Theorem 1. Transceiver I/Q imbalance transforms the symmetric transmitted signal to asymmetric received signal and the proper Gaussian interference to improper Gaussian interference [22].…”

Section: B Hardware Impaired Signal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Asymmetric Modulation for Hardware Impaired Systems—Error Probability Analysis and Receiver Design

Javed

Amin

Ikki

et al. 2019

IEEE Trans. Wireless Commun.

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“…41) Finally, the convex optimization problem in the lth iteration is maximize t1,t2,q min(t 1 , t 2 )…”

mentioning

confidence: 99%

Improper Signaling for SISO Two-User Interference Channels With Additive Asymmetric Hardware Distortion

Soleymani

Lameiro

Santamarı́a

et al. 2019

IEEE Trans. Commun.

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Hardware non-idealities are among the main performance restrictions for upcoming wireless communication systems. Asymmetric hardware distortions (HWD) happen when the impairments of the I/Q branches are correlated or imbalanced, which in turn generate improper additive interference at the receiver side. When the interference is improper, as well as in other interference-limited scenarios, improper Gaussian signaling (IGS) has been shown to provide rate and/or power efficiency benefits. In this paper, we investigate the rate benefits of IGS in a two-user interference channel (IC) with additive asymmetric HWD when interference is treated as noise. We propose two iterative algorithms to optimize the parameters of the improper transmit signals. We first rewrite the rate region as an pseudosignal-to-interference-plus-noise-ratio (PSINR) region and employ majorization minimization and fractional programming to find a suboptimal solution for the achievable user rates. Then, we propose a simplified algorithm based on a separate optimization of the powers and complementary variances of the users, which exhibits lower computational complexity. We show that IGS can improve the performance of the two-user IC with additive HWD. Our proposed algorithms outperform proper Gaussian signaling and competing IGS algorithms in the literature that do not consider asymmetric HWD.Index Terms-Achievable rate region, asymmetric hardware distortions, difference of convex programming, generalized Dinkelbach algorithm, improper Gaussian signaling, interference channel.

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Efficient spectrum allocation by heterogeneous automated frequency coordination network within 6 GHz band

Karumanchi,

Banavathu

2024

Physical Communication

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Multiple Antenna Systems With Hardware Impairments: New Performance Limits

Cited by 30 publications

References 36 publications

Asymmetric Modulation for Hardware Impaired Systems—Error Probability Analysis and Receiver Design

Asymmetric Modulation for Hardware Impaired Systems—Error Probability Analysis and Receiver Design

Improper Signaling for SISO Two-User Interference Channels With Additive Asymmetric Hardware Distortion

Efficient spectrum allocation by heterogeneous automated frequency coordination network within 6 GHz band

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