New Accurate Approximation for Average Error Probability

Mouchtak, Yassine; Bouanani, Faïssal El

doi:10.1109/access.2020.3048130

Cited by 5 publications

(4 citation statements)

References 29 publications

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“…where ω κ , ̺ κ and τ κ are summarized in Table II. (26), that the SINR is upper bounded by ωκ ̺κ . On the other hand, for ideal RF front e2e, namely (i) ideal RHI (i.e., κ κ = 0), and (ii) ideal IQI (i.e., G κ,1 = 1, G κ,2 = 0), the aforesaid parameters can be simplified to ω κ = 1, ̺ κ = 0, and τ κ = 1.…”

Section: ) Tx Impaired By Both Iqi and Rhimentioning

confidence: 99%

“…In this section, a tight approximate expression for the ASEP of various modulation schemes is derived. We start first by obtaining a simple exponential-based approximate expression for the SEP using the Trapezoidal integration rule [26].…”

Section: Average Symbol Error Probabilitymentioning

confidence: 99%

“…To this end, it is necessary to look for an accuracy-complexity tradeoff. Numerically, we checked that above N ≥ 5, the relative error becomes negligible [26]. Owing to this fact, N is set to 5 for the modulation techniques summarized in Table IV and to 6 (i.e.…”

Section: Average Symbol Error Probabilitymentioning

confidence: 99%

“…Obviously, obtaining accurate and simpler bounds or approximate expressions for the ASEP is strongly depending on the SEP's ones. To this end, it has been shown in [26] that the use of the Trapezoidal rule technique leads to a simple and tight approximate expression for the SEP's integral form. In fact, the mathematical tractability of such an approximation lies in its exponential form, making from the ASEP approximate expression a summation of Laplace transforms of the SNR's PDF.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of I/Q Imbalance with Hardware Impairments over Fox's H-Fading Channels

Mouchtak,

Bouanani

2021

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Impairments baseband model in-phase and quadrature-phase Imbalance (IQI) and Residual hardware impairments (RHI) are two key factors degrading the performance of wireless communication systems (WCSs), particularly when high-frequency bands are employed, as in 5G systems and beyond. The impact of either IQI or RHI on the performance of various WCSs have been investigated exclusively in a separate way. To fill this gap, in this paper, the joint effect of both IQI and RHI on the performance of a WCS subject to sum of Fox's H-function fading model (SFHF) 1 is investigated. Such a fading model generalizes most, if not all, of well-known fading and turbulence models. To this end, closed-form and asymptotic expressions for the outage probability (OP), channel capacity (CC) under constant power with optimum rate adaptation (ORA) policy, and average symbol error probability (ASEP) for both coherent and non-coherent modulation schemes. Specifically, all the analytical expressions are derived for three different scenarios: (i) ideal Tx and Rx impaired, (ii) Tx impaired and ideal Rx, and (iii) both Tx and Rx are impaired. Further, asymptotic expressions for OP, CC under ORA policy, and ASEP are obtained, based on which, insightful discussions on the IQI and RHI impacts are made. α − µ and Málaga M turbulence with pointing error distribution models have been considered particular SFHF distribution cases. The analytical derivations, revealed by simulation results, demonstrate that the RF impairments' effects should be seriously taken into account in the design of next-generation wireless technologies.Keywords 1. Channel capacity, Fox's H-fading, in-phase and quadrature-phase imbalance, Málaga M turbulence, α − µ fading, Gray coded differential quadrature phase-shift keying, outage probability, pointing error, residual hardware impairments, symbol error rate, Average symbol error rate.

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Section: ) Tx Impaired By Both Iqi and Rhimentioning

confidence: 99%

Section: Average Symbol Error Probabilitymentioning

confidence: 99%

Section: Average Symbol Error Probabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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