Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing

Tlebaldiyeva, Leila; Tsiftsis, Theodoros A.; Maham, Behrouz

doi:10.1109/access.2019.2892714

Cited by 9 publications

(6 citation statements)

References 32 publications

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“…The impact of hardware imperfections has been studied for various wireless communications scenarios in [1]- [19]. For instance, [1]- [5] considered different interference-limited networks with single-antenna transceivers subject to additive hardware distortions (AHWD).…”

Section: A Related Workmentioning

confidence: 99%

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

Soleymani

Santamarı́a

Schreier

2020

IEEE Trans. Veh. Technol.

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This paper investigates the performance of improper Gaussian signaling (IGS) for the K-user multiple-input, multiple-output (MIMO) interference channel (IC) with hardware impairments (HWI). HWI may arise due to imperfections in the devices like I/Q imbalance, phase noise, etc. With I/Q imbalance, the received signal is a widely linear transformation of the transmitted signal and noise. Thus, the effective noise at the receivers becomes improper, which means that its real and imaginary parts are correlated and/or have unequal powers. IGS can improve system performance with improper noise and/or improper interference. In this paper, we study the benefits of IGS for this scenario in terms of two performance metrics: achievable rate and energy efficiency (EE). We consider the rate region, the sum-rate, the EE region and the global EE optimization problems to fully evaluate the IGS performance. To solve these non-convex problems, we employ an optimization framework based on majorizationminimization algorithms, which allow us to obtain a stationary point of any optimization problem in which either the objective function and/or constraints are linear functions of rates. Our numerical results show that IGS can significantly improve the performance of the K-user MIMO IC with HWI and I/Q imbalance, where its benefits increase with the number of users, K, and the imbalance level, and decrease with the number of antennas.

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Section: A Related Workmentioning

confidence: 99%

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

Soleymani

Santamarı́a

Schreier

2020

IEEE Trans. Veh. Technol.

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“…The impact of hardware nonidealities has been studied in various scenarios in [2]- [20]. For instance, [2]- [6] considered different interference-limited scenarios with single-antenna transceivers subject to additive hardware distortions (AHWD).…”

Section: A Related Workmentioning

confidence: 99%

“…To this end, we first write the real decomposition of z in (17) as random vectors. Furthermore, the covariance matrix of z can be derived as (20).…”

Section: Lemma 1 ( [44]mentioning

confidence: 99%

“…In particular, millimeter wave (mmW) and wideband communications, which are main trends for 5G and beyond communication systems, may severely suffer from hardware nonidealities and impairments [1]. In general, hardware impairments (HWI) may occur due to imperfections such as quantization noise, phase noise, amplifier nonlinearities, and I/Q imbalance [2]- [20].…”

Section: Introductionmentioning

confidence: 99%

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Improper Gaussian Signaling for the $K$-user MIMO Interference Channels with Hardware Impairments

Soleymani¹,

Santamarı́a²,

Schreier³

2020

Preprint

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Next generation of wireless systems will employ many antenna branches with low-cost devices and hence, may suffer from severe hardware impairments (HWI) like I/Q imbalance, phase noise, etc. With I/Q imbalance, the received signal is a widely linear transformation of the transmitted signal and noise. Thus, the effective noise may be improper, which means that its real and imaginary parts are not independent and identically distributed. Improper Gaussian signaling (IGS) can improve system performance with improper noise and/or improper interference. This paper studies IGS for multiple-input, multiple-output (MIMO) K-user interference channels (IC) with imperfect devices in terms of two performance metrics: achievable rate and energy efficiency (EE). We also define an optimization framework for interferencelimited systems when treating interference as noise. This framework obtains a stationary point of any optimization problem in which either the objective function and/or constraints are linear functions of rates. These include the optimization of the rate region, the sum-rate, the EE region, or the global EE, among others. Our numerical results show that IGS can improve the performance of MIMO K-user IC with HWI and I/Q imbalance, where its benefits increase with K and the imbalance level and decrease with the number of antennas.

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“…Under both cooperative and non-cooperative spectrum sensing scenarios, the effects of IQI in single and multichannel energy detectors operating in full-duplex mode is studied in [8]. Reference [9] considers transceiver hardware imperfections and investigates an improved energy detector (IED) statistics using α−µ distribution over additive white Gaussian noise (AWGN) and Nakagami-m fading channel. Reference [10] suggests a cooperative spectrum sensing scheme based on selective-relay without the dedicated channel.…”

Section: Introductionmentioning

confidence: 99%

Relay Assisted Spectrum Sensing in Presence of IQ Imbalance in Multi-Channel System

Sahu

Mahapatro²,

Patra

2021

Preprint

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The increasing demand of wireless technology leads to a need for dynamic spectrum access that is positively accomplished by cognitive radio (CR) technology. For its acceptable efficiency it needs a robust detection scheme which detect the spectrum holes. This paper investigates a cooperative spectrum sensing method for a relay-based cognitive radio network. In general relay is a low cost device and is more prone to hardware impairment such as In-phase and Quadrature-phase Imbalance (IQI), which can considerably limit the capabilities of sensing spectrum holes. This work studies the energy detection (ED) based spectrum sensing in multi-channel receiver scenarios that are affected by IQI. The detection and false alarm probabilities considering Gaussian primary user signal models are derived. Our results are simulation based and verified with theoretical findings.

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Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing

Cited by 9 publications

References 32 publications

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

Improper Gaussian Signaling for the $K$-user MIMO Interference Channels with Hardware Impairments

Relay Assisted Spectrum Sensing in Presence of IQ Imbalance in Multi-Channel System

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