@article {Bariah20215129, title = {Large intelligent surface-assisted nonorthogonal multiple access for 6G networks: Performance analysis}, journal = {IEEE Internet of Things Journal}, volume = {8}, number = {7}, year = {2021}, note = {cited By 17}, pages = {5129-5140}, abstract = {Large intelligent surface (LIS) has recently emerged as a potential enabling technology for 6G networks, offering extended coverage and enhanced energy and spectral efficiency. In this work, motivated by its promising potentials, we investigate the error rate performance of LIS-assisted nonorthogonal multiple access (NOMA) networks. Specifically, we consider a downlink NOMA system, in which data transmission between a base station (BS) and L NOMA users is assisted by an LIS comprising M reflective elements (REs). First, we derive the probability density function (PDF) of the end-to-end wireless fading channels between the BS and NOMA users. Then, by leveraging the obtained results, we derive an approximate expression for the pairwise error probability (PEP) of NOMA users under the assumption of imperfect successive interference cancellation. Furthermore, accurate expressions for the PEP for M = 1 and large M values ( M > 10 ) are presented in closed-form. To gain further insights into the system performance, an asymptotic expression for PEP in high signal-to-noise ratio regime, asymptotic diversity order, and tight union bound on the bit error rate are provided. Finally, numerical and simulation results are presented to validate the derived mathematical results. {\textcopyright} 2014 IEEE.}, keywords = {Approximate expressions, Asymptotic diversity order, Asymptotic expressions, Bit error rate, Block codes, Error rate performance, Errors, Fading channels, High signal-to-noise ratio, Mobile telecommunication systems, Pair-wise error probability, Probability density function, Queueing networks, Signal to noise ratio, Successive interference cancellations, Trellis codes, Wireless fading channels}, doi = {10.1109/JIOT.2021.3057416}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100835822\&doi=10.1109\%2fJIOT.2021.3057416\&partnerID=40\&md5=ea0b361b970ee551c343f99d24bae108}, author = {Bariah, L. and Muhaidat, S. and Sofotasios, P.C. and Bouanani, F.E. and Dobre, O.A. and Hamouda, W.} } @article {Badarneh2021926, title = {Performance Analysis of FSO Communications over F Turbulence Channels with Pointing Errors}, journal = {IEEE Communications Letters}, volume = {25}, number = {3}, year = {2021}, note = {cited By 21}, pages = {926-930}, abstract = {Recently, the Fisher-Snedecor F distribution was proposed to model the turbulence in free-space optical (FSO) communications. However, the existing model does not consider pointing error impairment. To fill this gap, in this letter, we derive novel closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) for irradiance fluctuations in the presence of pointing error impairments. Subsequently, the PDF and CDF of the received signal-to-noise ratio (SNR) are derived and employed to obtain novel closed-form expressions for the outage probability, average bit error rate, and average ergodic capacity. To gain more insight into the impact of system and turbulence channel parameters, simple and accurate asymptotic expressions are further derived. Our analytical results are supported by Monte-Carlo simulations to validate the analysis. {\textcopyright} 1997-2012 IEEE.}, keywords = {Asymptotic expressions, Average bit-error rates, Average ergodic capacities, Bit error rate, Closed-form expression, Cumulative distribution function, Distribution functions, Errors, Free Space Optical communication, Monte Carlo methods, Optical communication, Performance analysis, Probability density function, Probability density function (PDF), Signal to noise ratio, Turbulence}, doi = {10.1109/LCOMM.2020.3042489}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097943147\&doi=10.1109\%2fLCOMM.2020.3042489\&partnerID=40\&md5=d5175f79c64955ba088a76dbd3e88c91}, author = {Badarneh, O.S. and Derbas, R. and Almehmadi, F.S. and El Bouanani, F. and Muhaidat, S.} } @article {Bouanani2021793, title = {Performance Analysis of Intelligent Reflecting Surface Aided Wireless Networks with Wireless Power Transfer}, journal = {IEEE Communications Letters}, volume = {25}, number = {3}, year = {2021}, note = {cited By 9}, pages = {793-797}, abstract = {The low efficiency of wireless power transfer (WPT) poses a key challenge for energy-constrained wireless networks. To address this issue, in this letter, the integration of intelligent reflecting surface (IRS) into a WPT network is investigated. To this end, an accurate approximation for the probability density function of the end-to-end cascaded fading channel is presented. By leveraging the derived result, accurate closed-form expressions of the outage probability (OP) and average symbol error probability (ASER) are derived for the proposed IRS-aided WPT system. To gain further insight into the system performance, asymptotic closed-form expressions for the ASER and OP are further derived and interesting observations are reported. Particularly, our asymptotic analysis reveals that the achievable diversity in the underlying scenario is independent of the reflective elements of the IRS. The analytical derivations, corroborated by simulation results, demonstrate that IRSs can be promising candidates for the realization of a highly efficient power transfer enabled wireless network. {\textcopyright} 1997-2012 IEEE.}, keywords = {Asymptotic analysis, Cascaded fading channels, Closed-form expression, Energy transfer, Energy-constrained, Fading channels, Inductive power transmission, Outage probability, Performance analysis, Probability, Probability density function, Reflecting surface, Symbol error probabilities (SEP), wireless networks, Wireless power transfer (WPT)}, doi = {10.1109/LCOMM.2020.3036534}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102847338\&doi=10.1109\%2fLCOMM.2020.3036534\&partnerID=40\&md5=8e9607afdd0ae2ed054c25ab61820b03}, author = {Bouanani, F.E. and Muhaidat, S. and Sofotasios, P.C. and Dobre, O.A. and Badarneh, O.S.} } @conference {Chaayra2021, title = {Statistical Analysis of Uplink Massive MIMO Systems for MRC Linear Receivers over Weibull Fading Channels}, booktitle = {Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021}, year = {2021}, note = {cited By 0}, abstract = {This paper investigates the performance of maximum-ratio combining (MRC) linear receivers in a massive multiple-input multiple-output (mMIMO) uplink communication system, that in terms of their signal-to-interference-plus-noise ratio (SINR) operating under independent flat Weibull multipath fading channels (WFCs). Based on a tight approximate probability density function (PDF) expression of the signal-to-noise ratio at the considered receiver output, we derive new accurate closed-form expressions of PDF, outage probability (OP) for mMIMO employing MRC technique. The results show high accuracy for significant values of K{\texttimes}Nr mMIMO system at high/low transmission power and severity fading parameters as well. Indeed, the greater K{\texttimes}Nr, the better the PDF{\textquoteright}s accuracy, therefore, the better is the OP. Numerical outcomes have been assessed by using Mathematica Software to show up our results. {\textcopyright} 2021 IEEE.}, keywords = {Cummulative density function, G-functions, Linear receiver, Massive MIMO, Maximum ratio, Maximum-ratio-combining, Meije G-function, MIMO systems, Multipath fading, Multipath propagation, Outage probability, Probability density function, Signal interference, Signal receivers, Signal to noise ratio, Signalto-interference-plus-noise ratios (SINR), Weibull distribution, Weibull fading channel}, doi = {10.1109/CommNet52204.2021.9641935}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123984751\&doi=10.1109\%2fCommNet52204.2021.9641935\&partnerID=40\&md5=3e44ae3af40139cd08615a702accf1ac}, author = {Chaayra, T. and El Ansari, Y. and El Bouanani, F. and Ben-Azza, H.} } @article {Illi202013996, title = {On the Distribution of the Sum of M{\'a}laga-M Random Variables and Applications}, journal = {IEEE Transactions on Vehicular Technology}, volume = {69}, number = {11}, year = {2020}, note = {cited By 3}, pages = {13996-14000}, abstract = {In this paper, a very accurate approximation method for the statistics of the sum of M{\'a}laga-M random variates with pointing error (MRVs) is proposed. In particular, the probability density function of MRV is approximated by a Fox{\textquoteright}s H-function through the moment-based approach. Then, the respective moment-generating function of the sum of N MRVs is provided, based on which the average symbol error rate is evaluated for an N-branch maximal-ratio combining (MRC) receiver. The retrieved results show that the proposed approximate results match accurately with the exact simulated ones. Additionally, the results show that the achievable diversity order increases as a function of the number of MRC diversity branches. {\textcopyright} 1967-2012 IEEE.}, keywords = {Approximate results, Approximation methods, Average symbol error rate (SER), Diversity order, Error statistics, Maximal ratio combining (MRC) receivers, Moment generating function, Pointing errors, Probability density function, Random variates}, doi = {10.1109/TVT.2020.3025405}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096323448\&doi=10.1109\%2fTVT.2020.3025405\&partnerID=40\&md5=983059a7dbdf860db83a81d1454d56fc}, author = {Illi, E. and Bouanani, F.E. and Ayoub, 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 {Miftah2020, title = {Performance Analysis of MIMO-STBC Systems over Correlated Fading Channels}, booktitle = {3rd International Conference on Advanced Communication Technologies and Networking, CommNet 2020}, year = {2020}, note = {cited By 2}, abstract = {The wireless communication services are in great demand nowadays, especially in 5G mobile technologies and beyond. In this frame, multiple-input multiple-output (MIMO) systems have shown a good efficiency by combating the phenomenon of fading as well as enhancing the performance of wireless communication systems. Particularly, MIMO systems with space-time block codes are promised solutions allowing to provide full diversity over coherent flat-fading channels. In this paper, relying on a highly accurate approximate the probability density function of the sum of correlated Weibull distributions, various performance criteria of MIMO-STBC systems undergoing Weibull fading channels are derived in approximate forms, namely outage probability, average capacity, and average symbol error rate. The accuracy of the aforementioned approximate expressions have been corroborated by the Monte-Carlo simulation method. Further, to gain more insights into the system{\textquoteright}s performance, the impact of the key parameters on the considered MIMO-STBC system reliability are highlighted. {\textcopyright} 2020 IEEE.}, keywords = {5G mobile communication systems, Approximate expressions, Average symbol error rate (SER), Block codes, Correlated fading channels, Fading channels, MIMO systems, Monte Carlo methods, Monte Carlo simulation methods, Performance criterion, Probability density function, Space time codes, Space-time block coding (STBC), Weibull distribution, Weibull fading channel, Wireless communication services, Wireless communication system}, doi = {10.1109/CommNet49926.2020.9199628}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093691289\&doi=10.1109\%2fCommNet49926.2020.9199628\&partnerID=40\&md5=8eb5e31a9b17a2b157f2d746aa4a9f63}, author = {Miftah, Y. and Bessate, A. and Bouanani, F.E.} } @article {12053057320170104, title = {A tight approximate analytical framework for performance analysis of equal gain combining receiver over independent Weibull fading channels.}, journal = {EURASIP Journal on Wireless Communications \& Networking}, volume = {2017}, number = {1}, year = {2017}, pages = {1 - 12}, abstract = {In this paper, a method for approximating the probability distribution of sum of independent and identical Weibull random variables is adopted to analyze the performance of equal gain combiner (EGC) receiver over non-identical Weibull fading channel (WFC). Our main result is to derive a generalized expression of the probability density function (PDF) of the signal-to-noise ratio (SNR) at the EGC output in the case of non-identical WFC. Based on this PDF, accurate approximation of significant performance criteria, such as outage probability (OP), the amount of fading (AoF), and average symbol/bit error probability (ASEP/ABEP), are derived. In addition, we derived the analytical expressions for channel capacities under various adaptation policies such as optimal rate adaptation (ORA), optimal simultaneous power and rate adaptation (OPRA), channel inversion with fixed rate (CIFR), and truncated channel inversion with fixed rate (TCIFR). The proposed mathematical analysis is complemented}, keywords = {Adaptation policies, Average symbol/bit error probability (ASEP/ABEP), Cumulative distribution function, Cumulative distribution function (CDF), Diversity combining (Telecommunications), Equal gain combining (EGC), Fox H-function, Meijer G-function, Moment generating function (MGF), Probability density function, Probability density function (PDF), Radio transmitters \& transmission {\textendash} Fading, Random variables}, issn = {16871472}, url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=120530573\&site=ehost-live}, author = {Bessate, Abdelmajid and El Bouanani, Faissal} }