@article {Mouchtak20229519, title = {Performance Analysis of I/Q Imbalance With Hardware Impairments Over Hyper Fox{\textquoteright}s H-Fading Channels}, journal = {IEEE Transactions on Wireless Communications}, volume = {21}, number = {11}, year = {2022}, note = {cited By 0}, pages = {9519-9536}, abstract = {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 has 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 Hyper Fox{\textquoteright}s H-fading (HFHF) channel, is investigated. Such a fading model generalizes most, if not all, of well-known fading and turbulence models. To this end, closed-form expressions for the outage probability (OP), Average channel capacity (ACC) under constant power with optimum rate adaptation (ORA) policy, and average symbol error probability (ASEP) for both coherent and non-coherent modulation schemes are derived. 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, ACC under ORA policy, and ASEP are obtained, based on which, insightful discussions on the IQI and RHI impacts are made. α-μ and M{\'a}laga M turbulence with pointing error distribution models have been considered as particular cases of the HFHF distribution. The analytical derivations, endorsed by simulation results, demonstrate that the RF impairments{\textquoteright} effects should be seriously taken into account in the design of next-generation wireless technologies. {\textcopyright} 2002-2012 IEEE.}, keywords = {\&$\#$x03b1, - \&$\#$x03bc, 5G mobile communication systems, Average symbol error rate, Channel capacity, Channel{\textquoteright}s capacity, Differential quadrature phase-shift-keying, Errors, Fading, Fading channels, Fadings channels, Gray coded differential quadrature phase-shift keying, Hardware, Hyper fox\&$\#$x2019, In-phase and quadrature-phase imbalances, Laga M turbulence, M\&$\#$x00e1, Optical communication, Optical frequency conversion, Optical wavelength conversion, Outage probability, Outages, Phase shift, Phase shift keying, Pointing errors, Probability, Radiofrequencies, Receiver, Reliability analysis, Residual hardware impairment, S H-fading, Symbol error rates, Turbulence models, Wireless communications}, doi = {10.1109/TWC.2022.3177530}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131718569\&doi=10.1109\%2fTWC.2022.3177530\&partnerID=40\&md5=1b7b499e2631ae9a2916e24c3114412f}, author = {Mouchtak, Y. and El Bouanani, F. and Qaraqe, K.A.} } @article {Mouchtak20214388, title = {New accurate approximation for average error probability}, journal = {IEEE Access}, volume = {9}, year = {2021}, note = {cited By 2}, pages = {4388-4397}, abstract = {This paper proposes new accurate approximations for average error probability (AEP) of a communication system employing either M-phase-shift keying (PSK) or differential quaternary PSK with Gray coding (GC-DQPSK) modulation schemes over generalized fading channel. Firstly, new accurate approximations of error probability (EP) of both modulation schemes are derived over additive white Gaussian noise (AWGN) channel. Leveraging the trapezoidal integral method, a tight approximate expression of symbol error probability for M-PSK modulation is presented, while new upper and lower bounds for Marcum Q-function (MQF) of the first order, and subsequently those for bit error probability (BEP) under DQPSK scheme, are proposed. Next, these bounds are linearly combined to propose a highly refined and accurate BE P{\textquoteright}s approximation. The key idea manifested in the decrease property of modified Bessel function Iv, strongly related to MQF, with its argument v. As an application, these approximations are used to tackle AEP{\textquoteright}s approximation under κ - {\textmu} shadowed fading. Numerical results show the accuracy of the presented approximations compared to the exact ones. {\textcopyright} 2021 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.}, keywords = {Additive white Gaussian noise channel, Approximate expressions, Average error probability, Bit error probability, Bit error rate, Errors, Fading channels, Gaussian noise (electronic), Generalized fading channels, Modified Bessel function, Probability, Quadrature phase shift keying, Symbol error probabilities (SEP), Upper and lower bounds, White noise}, doi = {10.1109/ACCESS.2020.3048130}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099099908\&doi=10.1109\%2fACCESS.2020.3048130\&partnerID=40\&md5=7831b4945ad3cbac14e95bbc3f6f1250}, author = {Mouchtak, Y. and El Bouanani, F.} } @article {Bouanani2020145037, title = {New Tight Bounds for the Gaussian Q-Function and Applications}, journal = {IEEE Access}, volume = {8}, year = {2020}, note = {cited By 7}, pages = {145037-145055}, abstract = {The Gaussian Q-function (GQF) and its integer powers are quite versatile in various fields of science. In most applications, it is involved in intractable integrals for which closed-form expressions cannot be evaluated. In this paper, six new bounds for the GQF are presented and their tightness and simplicity are discussed compared to existing ones. As an application, these bounds can be efficiently used to evaluate in closed-form upper bounds for the average symbol error rate for various modulation schemes, in the presence of a generalized fading channel whose probability density function can be written as a summation of a particular Bivariate Fox{\textquoteright}s H-functions. α-μ, κ-μ shadowed, and M{\'a}laga distribution models have been considered as particular cases of such distribution. To gain more insight into the system reliability, asymptotic closed-form expressions for the system{\textquoteright}s ASER over the above fading models are further derived and interesting discussions on the key fading parameters{\textquoteright} impact are made. Numerical results and simulations reveal the tightness of the proposed bounds compared to previous ones, while they keep almost the same complexity. {\textcopyright} 2013 IEEE.}, keywords = {Average symbol error rate (SER), Closed-form expression, Distribution models, Fading channels, Fading parameters, Gaussian Q-function, Generalized fading channels, Modulation schemes, Probability density function, System reliability}, doi = {10.1109/ACCESS.2020.3015344}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091875934\&doi=10.1109\%2fACCESS.2020.3015344\&partnerID=40\&md5=058cefb2e71342d56d628e22937a3318}, author = {Bouanani, F.E. and Mouchtak, Y. and Karagiannidis, G.K.} } @conference {Mouchtak2016863, title = {New tighter upper bounds on the performance of convolutional code over exponentially correlated Rayleigh fading channel}, booktitle = {2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016}, year = {2016}, note = {cited By 0}, pages = {863-868}, abstract = {This paper presents tighter bounds on the pairwise error-event probability and therefore very tighter upper bounds of bit error rate(BER) for communication systems employing convolutional code over Rayleigh fading channel with exponential correlation coefficient. To obtain our bound, we start by proposing a closed form upper bound for Gaussian Q-function and as well as deriving a new lower bound of each channel covariance matrix eigenvalue. The simulation results show that our proposed bound is tighter than those previously developed, especially when the covariance parameter q increases. A gain of over 6.5dB was achieved for q = 0.95 at BER=10-5 from the better previous bound, whereas for the lower values of q we reach the simulated curve. {\textcopyright} 2016 IEEE.}, doi = {10.1109/IWCMC.2016.7577171}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994189415\&doi=10.1109\%2fIWCMC.2016.7577171\&partnerID=40\&md5=9c87c7f8ec76a4a65c1e103b965da56b}, author = {Mouchtak, Y. and El Bouanani, F.} }